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					                                                                                D:\Docstoc\Working\pdf\2d198cf5-4602-48a9-96ba-0aa154a2cc4b.xls                                                                                                                                        Last printed on: 12/22/2010
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                            A                                            B                                  C                                  D                                         E                  F                                       G                                       H
  The numbers refer to the Form fields on the ISI
1 Proposal Form                                                                                   i. ISI Committee Affiliation: name of the ISI Committee
                                                                                                  ii. ISI or Section Affiliation: ISI, IAOS, IASC, IASS, IASE and/or Bernoulli Society
                                                                                                  iii. proposals to be Considered by the General Topics Committee

                                                    Back to the Proposal Form
2

                                                                                                                                                                                                                              9.Short description of the                       10.Name(s) of the
                                                                                               5.Date of                         6.ISI/ISI Section                                           8.Title of Proposed
    1.Name                                          3.E-mail address                                                                                              7.Name of the society                                       Invited Paper Meeting topic                      proposed
                                                                                               submission                         representation                                             Invited Paper Meeting
                                                                                                                                                                                                                              incl references                                  organiser(s)
3
                                                                                                                                                                                             application of distributed lag
                                                                                                                                                                                             model to estimation
4   Atif Ali Yassin Ali                             atifyassin2@yahoo.com                           9/23/2004                                 iii                                            consumption function
                                                                                                                                                                                                                                                                                 More: See
                                                                                                                                                                                             the concepts, and                Generally for the derivation of                    Q5
                                                                                                                                                                                             orgumentents on atomic           energy, radius and velocity of an
                                                                                                                                                                                             models,and the theory based      electron are caliculated by
                                                                                                                                                                                             on the circular motion of        equlising the centrifugal and                    General proposition, ISI,
5   G.V. Sekhar                                                                                   11/11/2004                               i , iii                                           atoms                            coulombic attraction forces.                     Indian

                                                                                                                                        ISI/IASS/IAOS member                                                                                More: See
                                                                                                                                                                                                                                            Q6

                                                                                                                                                                                                                              Statistical offices have more and                Eric Schulte Nordholt /
                                                                                                                                                                                                                              more information and researchers                 Dutch / Senior
                                                                                                                                                                                             Remote access and remote         want this information for their                  statistician at Statistics
6   Eric Schulte Nordholt                           ESLE@CBS.NL                                   11/18/2004                                   ii                                            execution                        analyses.                                        Netherlands



                                                                                                                                                                                                                              Karl Pearson can be characterized
                                                                                                                                                                                                                              as the father of statistics. 2007 is
                                                                                                                                                                                                                              his 150th birthyear. In 2004 a                   Ida H. Stamhuis, Vrije
                                                                                                                                                                                                                              biography of Karl Pearson written                Universiteit, The
                                                                                                                                                                                                                              by Theodore M. Porter has been                   Netherlands, Vice
7   Ida H. Stamhuis                                 stamhuis@few.vu.nl                              12/3/2004                                 iii                                            Karl Pearson's 150th birthday    published.                                       President IAOS




                                                                                                                                                                                                                              The purpose of this invited paper session is
                                                                                                                                                                                                                              to bring together researchers whose recent
                                                                                                                                                                                                                              theoretical and applied work is of interest to
                                                                                                                                                                                                                              both survival analysis and econometrics.
                                                                                                                                                                                                                              These two areas share many non- and
                                                                                                                                                                                                                                                                               Dorota M. Dabrowska
                                                                                                                                                                                                                              semiparametric regression models, as well
                                                                                                                                                                                             Non-and semiparametric           as special observational schemes                 from University of
                                                                                                                                                                                             regression models in survival    accouting for missing data and biased            California, Los Angeles
8   Dorota M. Dabrowska                             dorota@brahms.ph.ucla.edu                       12/7/2004                                  ii                  Bernoulli Society         analysis and econometrics        sampling problems.                               (nationality - USA)




                                                                                                                                                                                                                                                                           Last updated on: February 15, 2005
                                                                                                                      D:\Docstoc\Working\pdf\2d198cf5-4602-48a9-96ba-0aa154a2cc4b.xls                                                                                                                                       Last printed on: 12/22/2010
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                            A                                             I                         J        K           L        M              N               O                P                                                                       Q                                                                           R
  The numbers refer to the Form fields on the ISI
1 Proposal Form                                                                                                                       i. ISI Committee Affiliation: name of the ISI Committee
                                                                                                                                      ii. ISI or Section Affiliation: ISI, IAOS, IASC, IASS, IASE and/or Bernoulli Society
                                                                                                                                      iii. proposals to be Considered by the General Topics Committee
                                                                                                                                                                                                 (name)
                                                                                                                  12.Proposed under the programme of:

2
                                                                                                                                                                                                                                                       More                                                                 13 Possible




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                                                                                                                       IAO




                                                                                                                                              IAS



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                                                                                                                                IAS
                                                                                                             ou
                                                                                                                                                                                                                                                                                                                            Collaborating




                                                                                                                                                                            Gu
    1.Name                                          3.E-mail address
                                                    speakers and their                                                                                                                                7.Name of the society




                                                                                                             rn
                                                                                                                                                                                                                                                                                                                            Societies




                                                                                                          Be
                                                    nationalities and affiliations:
3

                                                                                                                                                                                                                                                                                                  See G5
4   Atif Ali Yassin Ali                                                                             x        x                    x
                                                                                                                                                                                                                                                                                                                   More:
                                                                                                                                                                                            But according to Loney's, Zemansy's theory the caliculation is done in slight converse. They said that in circular motion See
                                                                                                                                                                                                                                                                                                                   Q5
                                                                                                                                                                                            centrifugal force is not equal to coulombs force. Since the cetrifugal force is pseudo force. It consisted only to the mass of
                                                                                                                                                                                            the electron.and we neglect the motion of nucles. But actually nucles has some osscilation. It is negleted only when the
                                                                                                                                                                                            mass is negligable or infinetily. But the mass of the electron considered to be 1/1836 of the photon. So we must consider
                                                                                                                                                                                            the mass of the nucles. So, we take the mass of the electron as reduced mass mM/(M+m),to consider the mass of the
5   G.V. Sekhar                                     G.Veera Sekhar, Indian                          x                                                                                       nuclues. And about the energy states there are more concepts to discuss like this.                          See G6

                                                                                                                                                                                      To protect the
                                                                                                                                                                            ISI/IASS/IAOS member           confidentiality of the respondents statistical disclosure control techniques More: Seedeveloped.
                                                                                                                                                                                                                                                                                         have been
                                                                                                                                                                                                                                                                                         Q6
                                                                                                                                                                                            Traditionally only tables had to be protected. Additionally some statistical offices have delivered (partly) protected
                                                                                                                                                                                            microdata. At some institutes also the possibility exists to work on-site on microdata. With the new remote techniques the
                                                    Speakers of e.g. Statistics                                                                                                             data stay at the premises of the statistical institutes and the researchers stay at their institutes. Protected data could be
                                                    Denmark, Australian Bureau of                                                                                                           analysed with remote access (direct access to statistical data without a check) and other data could be analysed with
                                                    Statistics and many other                                                                                                               remote execution (only safe results of the analyses will be sent back). The organisational and technical aspects of the
6   Eric Schulte Nordholt                           organisations                                   x                    x        x                                                         different remote options is an interesting topic for an IP session in Lisbon in 2007.



                                                    Theodore M. Porter, Professor of History,
                                                    University of California in Los Angelos;
                                                    Stephen M. Stigler, Professor of Statistics,
                                                    University of Chicago, and President ISI;
                                                    Eileen Magnello, Wellcome Institute
                                                    London; Ida H. Stamhuis, Vrije Universiteit
7   Ida H. Stamhuis                                 Amsterdam and Vice President IAOS               x
                                                                                                   More: See Q8                                                                                                                                                                                     See i8
                                                    Four researchers accepted
                                                    invitation.
                                                    Gang Li from University of
                                                    California, Los Angeles (Chinese),
                                                    Michael Kohler from Stuttgart
                                                    University (nationality -German),                                                                                                       Gang Li (UCLA) will present work on partial linear regression with censored data and applications to analysis of health
                                                    Joel Horowitz from Northwestern                                                                                                         insurance data. Michael Kohler (Stuttgart University) will present work on nonparametric regression estimation from
                                                    University, Chicago (nationality -                                                                                                      censored data and applications to prediction.
                                                    USA) and Jens Perch Nielsen from                                                                                                        Joel Horowitz (Northwestern University) will discuss estimation in nonparametric additive models with known and
                                                    Codan in Copenhagen (nationality -                                                                                                      unknown link function. Jens Perch Nielsen (Codan) will talk about estimation of extremes from filtered data with a view to
8   Dorota M. Dabrowska                             Danish)                                                  x                                                                              fire insurance in London commercial market.




                                                                                                                                                                                                                                                                                                                 Last updated on: February 15, 2005
                                                      D:\Docstoc\Working\pdf\2d198cf5-4602-48a9-96ba-0aa154a2cc4b.xls                                                                                              Last printed on: 12/22/2010
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                                                                                                                                                                        9.Short description of the          10.Name(s) of the
                                                                     5.Date of             6.ISI/ISI Section                            8.Title of Proposed
     1.Name                 3.E-mail address                                                                   7.Name of the society                                    Invited Paper Meeting topic         proposed
                                                                     submission             representation                              Invited Paper Meeting
                                                                                                                                                                        incl references                     organiser(s)
3

                                                                                                                                                                        The topic of this section consists      More: See
                                                                                                                                                                        in statistical methods for              Q9
                                                                                                                                                                        regression models under shape
                                                                                                                                                                        restrictions. This includes
                                                                                                                                                                        estimation (i.e. parametric
                                                                                                                                                                        nonparametric estimation under
                                                                                                                                                                        monotonicity, convexity or other
                                                                                                                                                                        constraints) and testing (i.e.
                                                                                                                                                                        testing for monotonicity or other
                                                                                                                                                                        shape restrictions) in such
                                                                                                                                                                        models. Particular emphasiz is
                                                                                                                                                                        put methods for (nonparametric)
                                                                                                                                                                        regression models with
9    Holger Dette           holger.dette@rub.de                         12/14/2004                 ii          Bernoulli Society        Shape-Restricted Regression     multivariate predictors.           Holger Dette, Germany

                                                                                                                                                                        Longitudinal studies have received      More: See
                                                                                                                                                                        intensive attention recently. Many      Q10
                                                                                                                                                                        efforts have been devoted to
                                                                                                                                                                        statistical modelling Clearly, to
                                                                                                                                                                        avoid the wrong conclusions due
                                                                                                                                                                        to the use of improper models,
                                                                                                                                        Model Checking and              model checking for the             Lixing Zhu, Chinese, The
10   Lixing Zhu             lzhu@hku.hk                                 12/15/2004                 ii          Bernoulli Society        Longitudinal Studies            established models is important. University of Hong Kong

                                                                                                                                                                        There has recently been a large          More: See
                                                                                                                                                                        published literature on new              Q11
                                                                                                                                                                        objective Bayesian methods
                                                                                                                                                                        (where, as in frequentist statistics,
                                                                                                                                                                        the result only depends on the
                                                                                                                                                                        assumed model and the observed Jose M. Bernardo,
11   Jose M. Bernardo       jose.m.bernardo@uv.es                       12/16/2004               ii, iii       ISI, Bernoulli Society   Objective Bayesian Statistics   data).                                Spain, ISI
                                                                                                                                                                                     More: See
                                                                                                                                                                                     Q12


                                                                                                                                                                        Semi-supervised learning refers to
                                                                                                                                                                        classification problems in which
                                                                                                                                                                        the training data contains both
                                                                                                                                                                        labeled as well as unlabeled
                                                                                                                                                                        observations. Such problems
                                                                                                                                                                        arise naturally in many contexts, Bin Yu (China)
                                                                                                                                                                        such as handwriting recognition    University of California,
12   Bin Yu                 binyu@stat.berkeley.edu                         1/4/2005             ii, iii       Bernoulli Society        Semi-Supervised Learning        and document classification.       Berkeley
                                                                                                                                                                                   More: See
                                                                                                                                                                                   Q13



                                                                                                                                                                        We are concerned by multiple
                                                                                                                                                                        table analysis and the exploratory
                                                                                                                                                                        side of the analysis. This implies
                                                                                                                                        Exploratory multiple table      that we are going to deliberatedly A Morin french IRISA
13   Annie Morin            amorin@irisa.fr                                 1/4/2005               ii          ISI                      analysis                        avoids the PLS methods.            Rennes




                                                                                                                                                                                                          Last updated on: February 15, 2005
                                                                                      D:\Docstoc\Working\pdf\2d198cf5-4602-48a9-96ba-0aa154a2cc4b.xls                                                                                                               Last printed on: 12/22/2010
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                        A                     I                     J        K           L        M         N        O          P                                                                  Q                                                                          R
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                                                                                                          IAS



                                                                                                                    IAS
                                                                                                IAS
                                                                             ou
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                                                                                                                            Gu
     1.Name                 speakers and their
                            3.E-mail address                                                                                                7.Name of the society




                                                                             rn
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                                                                          Be
                            nationalities and affiliations:
3
                                                                                                                                                                                                                                               See G9         More: See
                                                                                                                                                                                                                                                              Q9



                                                                                                                                      References:
                                                                                                                                      Ghosal, Subhashis; Sen, Arusharka; van der Vaart, Aad W.
                                                                                                                                      Testing monotonicity of regression. (English) Ann. Stat. 28, No.4, 1054-1082 (2000)

                                                                                                                                      Hall, Peter; Huang, Li-Shan
                                                                                                                                      Nonparametric kernel regression subject to monotonicity constraints. (English) Ann. Stat. 29, No.3, 624-647 (2001)

                            J. Wellner, P. Hall, V. Spokoiny, L.                                                                      Hall, Peter; Müller, Hans-Georg
                            Duembgen, E. Mammen, L.                                                                                   Order-preserving nonparametric regression, with applications to conditional distribution and quantile function estimation.
9    Holger Dette           Davies, A. Van der Vaart                         x                                                        (English) J. Am. Stat. Assoc. 98, No.463, 598-608 (2003).

                                                                                                                                                                                                                                           See G10           More: See
                                                                                                                                                                                                                                                             Q10

                                                                                                                                      In this session, the newly developed approaches of goodness-fit-testing will be introduced, which are used to test whether
                                                                                                                                      some covariate effects in the model follow certain parametric forms, or more generally, to check the adequacy of a
                                                                                                                                      parametric model. References: 1).Crainiceanu, C. M. and Ruppert, D. (2004). Restricted likelihood ratio tests in
                            Dr. Colin Wu, Dr. C. M.                                                                                   nonparametric longitudinal models, Statistica Sinica, 713-730. 2).Xu, W, L. and Zhu, L. X.(2004). Goodness-of-fit Tests
10   Lixing Zhu             Crainiceanu, and Dr. W. L. Xu                    x                                                        for a Varying-Coefficients Model in Longitudinal Studies. Submitted for publication.
                                                                                                                                                                                                                                                  See G11
                                                                                                                                      This includes the development of a general theory (Berger, Bernardo and Sun, 2004) which permits the definition of More: See
                                                                                                                                                                                                                                                              a
                                                                                                                                      reference prior from first principles, the analysis of the behaviour under repeated sampling of objective Bayesian      Q11
                                                                                                                                      procedures (Datta and Sweeting, 2004), the development of new powerful methods in model selection (Bayarri, 2004;
                                                                                                                                      Pericchi, 2004) model criticism (Bernardo and Rueda, 2002) and applications with complex, often hierarchical models in
                            James O. Berger, USA, ISI; Trevor                                                                         many different fields (eg climatology, image analysis, metrology, bioinformatics or reliability). An invited paper session
                            Sweeting, UK; Susie Bayarri,                                                                              focusing on Objective bayesian methods would give delegates an opportunity to get acquainted with the latest
11   Jose M. Bernardo       Spain; Raul Rueda, Mexico               x        x                                                        developments in this emerging topic.
                                                                                                                                                                                                                                 More: See
                                                                                                                                                                                                                                 Q12 See G12



                            Mikhail Belkin (University of
                            Chicago), David Mease (University                                                                          In most cases, unlabeled observations are relatively easy to obtain, while the labeled observations are quite costly and
                            of California, Berkeley), Peter                                                                           consequently relatively scarce. The main objective in such problems is to learn classification rules using information from
                            Bickel (University of California,                                                                         the unlabeled observations in some way to provide lower misclassification error rates than rules learned using only the
                            Berkeley), Neil Lawrence (Sheffield                                                                       labeled documents. Some researchers have had success using ideas from spectral graph theory. Other approaches
                            University), Yaacov Ritov (The                                                                            include EM-based methods and transductive support vector machines. This session will focus on new practical and
12   Bin Yu                 Hebrew University of Jerusalem)                  x                                                        theoretical advances for problems in semi-supervised learning.
                                                                                                                                                                                                                               More: See See G13
                                                                                                                                                                                                                               Q13

                                                                                                                                      We want to focus on the use of factorial analysis and clustering methods for multiple table. It is not a new area but the
                                                                                                                                      applications are increasing in sensorial analysis, marketing and so on and the exploratory methods are still there with
                                                                                                                                      some new developments even if many users focus on Path modelling.

                            H Kiers Netherlands , J Pagès                                                                             References : Escofier B, Pagès J multiple factor analysis in computational statistics and data analysis in 1994
                            France, A Lazraq Marocco, V Vinzi                                                                         Caroll J D A generalization of canonical correlation analysis
13   Annie Morin            Italy                                                                 x                                   to three or more sets of variables 1968




                                                                                                                                                                                                                                                           Last updated on: February 15, 2005
                                                              D:\Docstoc\Working\pdf\2d198cf5-4602-48a9-96ba-0aa154a2cc4b.xls                                                                                            Last printed on: 12/22/2010
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                                                                                                                                                                             9.Short description of the           10.Name(s) of the
                                                                             5.Date of             6.ISI/ISI Section                           8.Title of Proposed
     1.Name                  3.E-mail address                                                                          7.Name of the society                                 Invited Paper Meeting topic          proposed
                                                                             submission             representation                             Invited Paper Meeting
                                                                                                                                                                             incl references                      organiser(s)
3
                                                                                                                                                                                           More: See
                                                                                                                                                                                           Q14




                                                                                                                                                                             Once, a politician declared : ―I
                                                                                                                                                                             don‘t need statistics; I only need
                                                                                                                                                                             indicators‖ ! Among some
                                                                                                                                                                             categories of users, the opinion is
                                                                                                                                                                             generally received that simple and
                                                                                                                                                                             synthetic indicators are more
                                                                                                                                                                             useful than complex and multi-
                                                                                                                                                                             dimensional statistics that are
                                                                                                                                               Do users need indicators or   supposed to be designed for
14   Jean-Louis Bodin        jean-louis.bodin@adetef.finances.gouv.fr               1/7/2005               ii          IAOS, IASS              statistics ?                  researchers.                        Jean-Louis Bodin
                                                                                                                                                                                            More: See
                                                                                                                                                                                            Q15

                                                                                                                                                                             Over the last decade wavelets
                                                                                                                                                                             have revolutionized nonparametric
                                                                                                                                                                             regression, especially for non-
                                                                                                                                                                             homogeneous functions and
                                                                                                                                                                             begun to make a large impact for
                                                                                                                                                                             locally stationary time series.
                                                                                                                                                                             However, it is not always clear
                                                                                                                                                                             how to apply wavelet (and Fourier)
                                                                                                                                                                             methods to irregularly spaced
                                                                                                                                                                             data especially in higher          Guy Nason, British,
15   Guy Nason               g.p.nason@bristol.ac.uk                              1/10/2005                ii          Bernoulli Society       Lifting in Statistics         dimensions.                        University of Bristol, UK

                                                                                                                                                                                                                      More: See
                                                                                                                                                                             Over the last three decades there        Q16
                                                                                                                                                                             is a growing interest in
                                                                                                                                                                             stochastic analysis due to its
                                                                                                                                                                             broad applications on financial
                                                                                                                                                                             market. The main focus of this
                                                                                                                                                                             section is on stochastic analysis    Ching-Tang Wu
                                                                                                                                                                             and its application on financial     (Taiwan; National
                                                                                                                                               Stochastic Analysis and       mathematics.                         University of Kaohsiung,
16   Ching-Tang Wu           ctwu@nuk.edu.tw                                      1/11/2005                ii          Bernoulli Society       Financial Mathematics                                              Kaohsiung, Taiwan)

                                                                                                                                                                             Recent SPRUCE workshop which                More: See
                                                                                                                                                                             was held in Lisbon, March 2004,             Q17
                                                                                                                                                                             identified current issues in space
                                                                                                                                                                             time modelling
                                                                                                                                                                             (http://spruce.deio.fc.ul.pt ; reports
                                                                                                                                                                             of the working groups) as being:
                                                                                                                                                                             1) Change of support (Data
                                                                                                                                                                             collected at different levels of
                                                                                                                                                                             aggregation)
                                                                                                                                                                             2) Misaligned and incompatible
                                                                                                                                                                             data
                                                                                                                                                                             3) Data Measured or simulated at Kamil Feridun Turkman
                                                                                                                                               Spatial/Temporal Models and   different space-time scales            University of Lisbon,
17   Kamil Feridun Turkman   kfturkman@fc.ul.pt                                   1/11/2005              ii, iii       ISI                     Methods                       ...                                    Portugal




                                                                                                                                                                                                                 Last updated on: February 15, 2005
                                                                                       D:\Docstoc\Working\pdf\2d198cf5-4602-48a9-96ba-0aa154a2cc4b.xls                                                                                                                 Last printed on: 12/22/2010
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     1.Name                  speakers and their
                             3.E-mail address                                                                                                7.Name of the society




                                                                              rn
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                             nationalities and affiliations:
3
                                                                                                                                                                                                                                   More: See G14
                                                                                                                                                                                                                                            See
                             There will be ideally three papers :                                                                                                                                                                  Q14
                             - one promoter of a well-known                                                                            Statisticians are used to calculate synthetic indicators for many years (GDP, or CPI are synthetic indicators) but there is a
                             synthetic indicators: the Indicator                                                                       growing tendency to introduce more and more indicators, not only quantitative but also qualitative.
                             of Human Development (Dr.
                             Amatya Sen or Ms Sakiko Fukuda-                                                                           The use of synthetic indicators may raise many questions :
                             Parr)                                                                                                     - what are the characteristics of a ―good‖ synthetic indicator (in particular qualitative indicators) ?
                             - one politician aware of these                                                                           - is their apparent simplicity an illusion or reality ?
                             problems (Michel Rocard, Member                                                                           - is benchmarking, based on a comprehensive system of several key indicators, may be effective for policy purposes (see
                             of the European Parliament)                                                                               the Palermo Forum on ―Statistics, Knowledge and Policy‖ recently organised by OECD)
                             - one staff member of the statistics                                                                      - indicators are pushing users – in particular the media - to make rankings : are such rankings really useful ? are they
                             department of the European                                                                                dangerous ?
                             Central Bank or of the statistics                                                                         - indicators may lead to ―statistically driven decisions‖ (e.g. Maastricht indicators), which confuses the relations and the
                             department of OECD.                                                                                       debate between decision-makers and statisticians and paves the way to political pressures on statisticians
                                                                                                                                       - etc.
                             The discussants being persons                                                                             The proposed session will try to better define the respective role of synthetic indicators and more complex statistics with
                             responsible of National Statistical                                                                       the idea of demonstrating that users (businesses, governments, non-profit organisations, advocacy groups, citizens) need
14   Jean-Louis Bodin        Councils or Heads of NSOs.              x                   x                                             both tools to make informed decisions.
                                                                                                                                                                                                                                       More: See
                                                                                                                                                                                                                                               See G15
                                                                                                                                                                                                                                       Q15



                             Bernard Silverman, British,
                             University of Oxford, UK; Rainer                                                                          Lifting is a new (late '90s) generalization of wavelets that allows multiscale decompositions of irregularly spaced data
                             von Sachs, German, Universitie                                                                            (also in higher dimensions) that is generating great excitement in the statistical multiscale community. Lifting has great
                             Catholique de Louvain, Belgium;                                                                           potential for irregularly spaced data for regression and time series analysis but also for spatial data and the multiscale
                             Guy Nason, British, University of                                                                         analysis of networks.
                             Bristol, UK; Maarten Jansen,
                             Belgian, T.U. Eindhoven,                                                                                  A Lisbon 2007 session would possibly be one of the 1st at a major conference. This would permit interaction between
                             Netherlands; Veronique Delouille,                                                                         experts but also publicising the benefits of lifting to a wider audience.
                             Belgian, Royal Observatory of
15   Guy Nason               Belgium.                                         x                                                        This is a very new area with new methods developing but with wide potential applicability.
                                                                                                                                                                                                                                           See G16            More: See
                             Professor Dr. Hans Foellmer                                                                                                                                                                                                      Q16
                             (German; Humboldt Universitaet
                             zu Berlin, Berlin, Germany),                                                                              The most important scholars in this subject will publish their new findings. Their works are expected to shed lights on risk
                             Professor Dr. Marc Yor (France;                                                                           management and other related financial and insurance issues.
                             Universite Pierre et Marie Curie,
                             Paris, France), Professor Dr.                                                                             The key references include: H. Foellmer and A. Schied: "Robust Preferences and Convex Risk Measures", M. Atlan, H.
                             Walter Schachermayer (Austria;                                                                            Geman, D. B. Madan, and M. Yor: "Correlation and the pricing of risks", W. Schachermayer and F. Delbaen: "The
                             University of Technology Vienna,                                                                          Fundamental Theorem of Asset Pricing for Unbounded Stochastic Processes", and W. Schachermayer:
16   Ching-Tang Wu           Vienna, Austria)                                 x                                                        "Optimal Investment in Incomplete Financial Markets".

                                                                                                                                                                                                                                         See G17
                                                                                                                                                                                                                                                                  More: See
                                                                                                                                                                                                                                                                  Q17

                             Christopher Wikle, University of                                                                          ...
                             Missouri, USA; Doug Nychka                                                                                4)Extremes of Random fields
                             National Center for Atmospheric                                                                           5)Non-separable space-time covariance models
                             Research, USA; Jef Teugels,                                                                               6)Principles for selecting the appropriate levels of aggregation
                             Katholieke Universiteit Leuven,                                                                           7) Non-Gaussian data
                             Belgium; Jim Zidek, University of                                                                         8) Useful metrics for comparing different models and assessing adequacy of models
                             British Columbia, Canada; Noel                                                                            9) Computationally efficient implementation of space-time models
                             Cressie, Ohio State University,
                             USA; Patrick Brown , University of                                                                        This reseach field is very active and no doubth all these issues will be pursued durig the coming years. It is therefore
                             Lancaster, UK; Valerie Isham,                                                                             usefull and desirable to include a session in the 56th ISI session in Lisbon to assess the advances made in this area.
17   Kamil Feridun Turkman   University College, UK.                 x




                                                                                                                                                                                                                                                            Last updated on: February 15, 2005
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                       A                               B                           C                    D                         E                       F                                G                                 H

                                                                                                                                                                          9.Short description of the             10.Name(s) of the
                                                                          5.Date of             6.ISI/ISI Section                           8.Title of Proposed
     1.Name                    3.E-mail address                                                                     7.Name of the society                                 Invited Paper Meeting topic            proposed
                                                                          submission             representation                             Invited Paper Meeting
                                                                                                                                                                          incl references                        organiser(s)
3
                                                                                                                                                                          Adequate bias reduction in the
                                                                                                                                                                                                               More: See
                                                                                                                                                                          semi-parametric estimation of rare
                                                                                                                                                                                                               Q18
                                                                                                                                                                          events‘ parameters provides
                                                                                                                                                                          usually smoother paths, smaller
                                                                                                                                                                          mse at optimal levels and a
                                                                                                                                                                          smaller sensitivity to changes in
                                                                                                                                                                          location. One then needs to
                                                                                                                                                                          estimate properly the bias
                                                                                                                                                                          function, or the second order
                                                                                                                                                                          parameters in that bias. The
                                                                                                                                            Bias Reduction in the         adequate accommodation of the      Jan Beirlant, Katholieke
                                                                                                                                            Estimation of Parameters of   bias of Hill‘s estimator has been  University Leuven,
18   M. Ivette Gomes           ivette.gomes@fc.ul.pt                           1/11/2005                ii                                  Rare Events                   extensively addressed.             Belgium
                                                                                                                                                                          Spatial Extrmes is the next
                                                                                                                                                                          challenge for research in extreme
                                                                                                                                                                          value theory, now that the finite-
                                                                                                                                                                          dimensional case is well
                                                                                                                                                                          understood. The theoretical
                                                                                                                                                                          foundations have been laid and a
                                                                                                                                                                          number of models have been
                                                                                                                                                                          developed. But the area still has to
                                                                                                                                                                          grow to maturity. Applied data are
                                                                                                                                                                          waiting for proper analysis          Thomas Mikosch,
                                                                                                                                                                          (rainfall, pollution data). The main university of
19   Laurens de Haan           ldhaan@few.eur.nl                               1/11/2005                ii          Bernoulli               Spatial Extremes              argument is "new area".              Copenhagen, Denmark

                                                                                                                                                       More: See                                                 Ray Hilborn - School of
                                                                                                                                                       Q20                Exploitation of wild animal
                                                                                                                                                                                                                 Aquatic and Fishery
                                                                                                                                                                                                                 Sciences, University of
                                                                                                                                                                          populations requires quantitative      Washington, Box 357980,
                                                                                                                                                                          scientific advice, to prevent stock    Seattle, WA 98195-79800,
                                                                                                                                                                          depletion. Preservation of natural     USA.
                                                                                                                                                                          habitats and of high levels of         rayh@u.washington.edu;
                                                                                                                                                                          biodiversity is a concomitant key      Nancy Lo - NOAA
                                                                                                                                                                          issue. Recently, it has been           Southwest Fisheries
                                                                                                                                                                          recognized the importance of           Science Center, P.O. Box
                                                                                                                                                                          providing measures of uncertainty      271, Lajolla, California
                                                                                                                                                                          in outputs from assessment             92038 nlo@ucsd. edu;
                                                                                                                                                                                                                 Ransom A. Myers -
                                                                                                                                                                          models and also of including in
                                                                                                                                                                                                                 Department of Biological
                                                                                                                                                                          them the possibility of changes in     Sciences, Life Sciences
                                                                                                                                                                          environment. Uncertainty has           Centre 1355 Oxford Street
                                                                                                                                                                          been incorporated mainly through       Dalhousie University
                                                                                                                                            Recent Developments in        sensitivity analysis, bootstrap,       Halifax, Nova Scotia,
                                                                                                                                            Management of Animal          bayesian methods and spatio-           Canada, B3H 4J1
20   M. Lucilia Carvalho       mlcarvalho@fc.ul.pt                             1/11/2005                ii          ISI or Bernoulli        Populations                   temporal analysis.                     Ransom.Myers@dal.ca
                                                                                                                                                                          The application of design of
                                                                                                                                                                          experiment methods to large
                                                                                                                                                                          computer experiments is a new
                                                                                                                                                                          chalange emerging from
                                                                                                                                                                          physical simulation. First, there is
                                                                                                                                                                          no measurement errors and
                                                                                                                                                                          second the size of the designs is
                                                                                                                                                                          usually very large (more than 10^5
                                                                                                                                                                          units and more than 50
                                                                                                                                                                          variables). This session will try to
                                                                                                                                            Design for large computer     give an overview of the state of art   Azais J.M. and Gamboa
21   Azais J.M and Gamboa F.   gamboa@cict.fr                                  1/11/2005                ii          Bernoulli               experiments                   in the area.                           F.




                                                                                                                                                                                                             Last updated on: February 15, 2005
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                                                                               ou
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                                                                                                                              Gu
     1.Name                    3.E-mail address
                               speakers and their                                                                                             7.Name of the society




                                                                               rn
                                                                                                                                                                                                                                                                     Societies




                                                                            Be
                               nationalities and affiliations:
3
                                                                                                                                                                                                                                           See G18
                                                                                                                                                                                                                                                             More: See
                               Beirlant, Jan — Katholieke
                                                                                                                                                                                                                                                             Q18
                               Universiteit Leuven, Belgium;
                               Feuerverger, Andrei — University
                               of Toronto, Canada; Gomes, M.
                               Ivette — University of Lisbon,
                               Portugal; Hall, Peter — Canberra
                               University, Australia; Martins, M.                                                                       The external estimation of the shape second order parameter enables us keeping under adequate control the asymptotic
                               João — Technical University of                                                                           variance of the tail index reduced bias‘ estimators. Only quite recently attention has been paid to the scale second order
                               Lisbon, Portugal; Neves, M.                                                                              parameter. The external estimation of such a parameter enables us to estimate, in a bias reduced way, any rare events‘
                               Manuela — Technical University of                                                                        parameter, without increasing the optimal asymptotic variance. This is a way to overpass the old trade-off between
                               Lisbon, Portugal; Peng, Liang —                                                                          variance and bias. Further work is expected in the next years, together with applications in the fields of insurance and
18   M. Ivette Gomes           Atlanta University, USA.                        x                                                        finance.




                               J.Einmahl, university of Tilburg,
                               The Netherlands; T.T. Pereira,
                               University of Lisbon, Portugal; L.
                               de Haan, Erasmus university, The
                               Netherlands; J. Tawn, university of
19   Laurens de Haan           Lancaster, UK.                                  x
                                                                                                                                                                                                  More: See                             See G20
                                                                                                                                                                                                  Q20
                               M. K. McAllister - Renewable
                               Resources Assessment Group,
                               Department of Environmental
                               science and Technology, Imperial
                               College, Royal School of mines
                               Building, Prince Consort Road,
                               London, SW7 2BP, U.K; A. Punt -
                               School of Aquatic and Fishery
                               Sciences, University of
                               Washington, Box 355020, Seattle,
                               WA 98195-5020, USA.
                               aepunt@u.washington.edu; H.
                               Caswell. - Biology Department,                                                                           As a result models have been growing in complexity and in basic internal assumptions, often not clearly stated and
                               Woods Hole Oceanographic                                                                                 without explicit relationships with the biology and dynamics of the resources. Those highly complex models become then
                               Institution, Woods Hole, MA 02543-                                                                       less transparent and difficult to access by the users. We intend to promote a debate on the trade off between the use of
20   M. Lucilia Carvalho       1049, USA. hcaswell@whoi.edu           x        x                                                        such highly structured models as key tools for management or as a test tool to evaluate robustness of simpler models.




                               Santner T. (Ohio state University),
                               Owen A .B (Stanford University),
21   Azais J.M and Gamboa F.   Dette H (Bochum University),                    x




                                                                                                                                                                                                                                                            Last updated on: February 15, 2005
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                                                                                                                                                                                                                                  Page 9 / 26




                      A                              B                           C                    D                         E                       F                            G                                 H

                                                                                                                                                                   9.Short description of the             10.Name(s) of the
                                                                        5.Date of             6.ISI/ISI Section                           8.Title of Proposed
     1.Name                  3.E-mail address                                                                     7.Name of the society                            Invited Paper Meeting topic            proposed
                                                                        submission             representation                             Invited Paper Meeting
                                                                                                                                                                   incl references                        organiser(s)
3

                                                                                                                                                                   In statistics, the term "official        More: See
                                                                                                                                                                   data" denotes data collected in          Q22
                                                                                                                                                                   censuses and statistical surveys
                                                                                                                                                                   by National Statistics Institutes, as
                                                                                                                                                                   well as administrative and
                                                                                                                                                                   registration records collected by
                                                                                                                                                                   government departments and
                                                                                                                                                                   local authorities. They are used to
                                                                                                                                                                   produce "official statistics" for the Donato Malerba,
                                                                                                                                                                   purpose of making policy              Dipartimento di Informatica,
22   Paula Brito             mpbrito@fep.up.pt                               1/12/2005                ii          IAOS or ISI             Mining Oficial Data      decisions.                            University of Bari, Italy

                                                                                                                                                                                                        More: See
                                                                                                                                                                   The need to extend standard          Q23
                                                                                                                                                                   exploratory, statistical and
                                                                                                                                                                   graphical data analysis methods
                                                                                                                                                                   to more complex data, has been
                                                                                                                                                                   increasing. This is the case of
                                                                                                                                                                   data concerning more or less
                                                                                                                                                                   homogeneous classes or groups
                                                                                                                                                                   of individuals - second-order
                                                                                                                                                                   objects or macro-data - instead of
                                                                                                                                                                   single individuals - first-order
                                                                                                                                                                   objects or micro-data. Symbolic
                                                                                                                                                                   Data Analysis allows the extension
                                                                                                                                                                   of classical data analysis         Paula Brito, Faculdade de
                                                                                                                                                                   techniques to the analysis of      Economia, Universidade do
23   Paula Brito             mpbrito@fep.up.pt                               1/12/2005                ii          IASC                    Symbolic Data Analysis   second-order objects.              Porto, PORTUGAL
                                                                                                                                                                             More: See
                                                                                                                                                                             Q24

                                                                                                                                                                   In Statistics of Extremes it is
                                                                                                                                                                   always assumed the validity of a
                                                                                                                                                                   first order condition. i.e., it is
                                                                                                                                                                   assumed that the model
                                                                                                                                                                   underlying data is in the domain of
                                                                                                                                                                   attraction of an Extreme Value
                                                                                                                                                                                                          M. Isabel Fraga Alves,
                                                                                                                                                                   distribution. And, whenever we
                                                                                                                                                                                                          DEIO, Faculdade de
                                                                                                                                                                   intend to accommodate bias of          Ciências, Universidade de
                                                                                                                                                                   estimators, we need to go further,     Lisboa, Portugal (or
                                                                                                                                                                   assuming second order                  Laurens de Haan, Erasmus
                                                                                                                                          Testing Extreme Value    conditions, specifying the rate of     University of Rotterdam,
24   M. Isabel Fraga Alves   isabel.alves@fc.ul.pt                           1/12/2005                ii          ISI or Bernoulli        Conditions               convergence in the first order.        The Netherlands)




                                                                                                                                                                                                        Last updated on: February 15, 2005
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                                                                             ou
                                                                                                                                                                                                                                                                    Collaborating




                                                                                                                            Gu
     1.Name                  3.E-mail address
                             speakers and their                                                                                             7.Name of the society




                                                                             rn
                                                                                                                                                                                                                                                                    Societies




                                                                          Be
                             nationalities and affiliations:
3

                                                                                                                                                                                                                                      See G22              More: See
                                                                                                                                                                                                                                                           Q22


                             David J. Hand, Imperial College,
                             London, UK; Michael May,
                             Fraunhofer Institute for                                                                                 Very few applications of data mining techniques in the discovery of new models or patterns in official data sets have been
                             Autonomous Intelligent Systems,                                                                          reported. Although the application of data mining techniques to official data has great potential both in the public and in
                             Sankt Augustin, Germany; Carlos                                                                          the private sectors, mining official data requires a challenging methodological research in AGGREGATED DATA, GEO-
                             Marcelo, National Institute of                                                                           REFERENCIATION, DATA QUALITY, TIMELINESS, METADATA. This is only a sample of the most challenging
22   Paula Brito             Statistics (INE), Lisbon, Portugal     x                   x                                             problems. The Invited Paper Meeting aims to draw added attention to this field and stimulate further research.

                                                                                                                                                                                                                                       See G23            More: See
                                                                                                                                                                                                                                                          Q23




                             Edwin Diday, University of Paris-IX
                             Dauphine , Paris, France; Lynne
                             Billard, University of Georgia,
                             Athens, USA; Carlo Lauro,
                             Università degli Studi di Napoli                                                                         Symbolic data extend the classical tabular model, allowing multiple, possibly weighted, values for each descriptive
                             "Federico II", Naples , Italy;                                                                           attribute. Symbolic data occur when summarising huge sets of data or describing the underlying concepts - a town, a
                             Francisco de Carvalho, Federal                                                                           scenario of accidents - of a database. Symbolic Data Analysis provides useful tools to analyse aggregated data in the
                             University of Pernambuco (UFPE),                                                                         field of official statistics. Symbolic Data Analysis underwent great improvement with the European projects ―SODAS‖ and
23   Paula Brito             Recife, Brazil                                             x         x                                   ―ASSO‖ and the development of a software package.
                                                                                                                                                                                                                              More: See
                                                                                                                                                                                                                              Q24      See G24
                             De Haan, Laurens — Erasmus
                             University of Rotterdam, Holland;
                             Falk, M. — Wurzburg University,
                             Germany; Fraga Alves, M. Isabel
                             — Lisbon University, Portugal;
                             Hasofer, A. M. — Victoria
                             University of Technology; Husler,
                             Jurg — Bern University,
                             Switzerland; Mahron, F. —                                                                                Testing the first order condition has been performed a few years ago, under a parametric framework, and methodology
                             Eichstat University, Germany;                                                                            for the separation of three regions, negative, null and positive tail index, has then been advanced. More recently, this
                             Teugels, Jef; Katholieke                                                                                 trilemma has been partially solved under a semi-parametric framework. A lot of work on the topic has been recently under
                             Universiteit Leuven, Belgium;                                                                            development and the portuguese research team in this area even thinks sensible to revisit, now under a semi-parametric
                             Wang, J. Z. — University of                                                                              framework, most of the topics developed in a parametric set-up. This will for sure lead to further important developments
24   M. Isabel Fraga Alves   Western Sydney, Australia              x        x                                                        in the next few years.




                                                                                                                                                                                                                                                          Last updated on: February 15, 2005
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                                                                                                                                                                                        9.Short description of the                     10.Name(s) of the
                                                                                    5.Date of             6.ISI/ISI Section                           8.Title of Proposed
     1.Name                            3.E-mail address                                                                       7.Name of the society                                     Invited Paper Meeting topic                    proposed
                                                                                    submission             representation                             Invited Paper Meeting
                                                                                                                                                                                        incl references                                organiser(s)
3

                                                                                                                                                                                        Teaching statistics, we use real-
                                                                                                                                                                                        world problems and data.                 More: See
                                                                                                                                                                                        1) Using random number tables,           Q25
                                                                                                                                                                                        each student may build his own
                                                                                                                                                                                        sample from the real dataset and
                                                                                                                                                                                        gets his own estimation of a
                                                                                                                                                                                        statistic of interest. We merges all
                                                                                                                                                                                        the results using a spreadsheet.
                                                                                                                                                                                        Using a macro-instruction, each
                                                                                                                                                                                        student is able to simulate a
                                                                                                                                                                                        number of random samples and to
                                                                                                                                                                                        calculate the statistics value of
                                                                                                                                                      Teaching inferential statistics   each sample; he can study the
                                                                                                                                                      and demography with               distribution, calculate confident     Jean-Hugues CHAUCHAT,
                                                                                                                                                      simulations involving real-       intervals, test different hypothesis, French, Université Lumière-
25   Jean-Hugues Chauchat              Jean-Hugues.Chauchat@univ-lyon2.fr                1/12/2005                ii          IASE                    world data and problems           draw the power curve, and so on. Lyon2

                                                                                                                                                                                        Much of statistical inference defies
                                                                                                                                                                                                                                   More: See
                                                                                                                                                                                        exact analysis, and relies on
                                                                                                                                                                                        asymptotics. The usual first order         Q26
                                                                                                                                                                                        asymptotics based primarily on
                                                                                                                                                                                        the central limit theorems and
                                                                                                                                                                                        laws of large numbers allow many
                                                                                                                                                                                        competing candidates which are
                                                                                                                                                                                        all first order efficient. Higher
                                                                                                                                                                                        order asymptotics enables one to
                                                                                                                                                                                        distinguish between all these
                                                                                                                                                                                        candidates. Such asymptotics is
                                                                                                                                                                                        relevant both in frequentist and
                                                                                                                                                                                        Bayesian frameworks, and has         Malay Ghosh; American;
26   Malay Ghosh                       ghoshm@stat.ufl.edu                               1/13/2005                ii          Bernoulli Society       Higher Order Asymptotics          many potential applications.         University of Florida



                                                                                                                                                                                        Spatial and Spatio-Temporal Statistics
                                                                                                                                                                                        have become the most important
                                                                                                                                                                                        methodologies for a large diversity of
                                                                                                                                                                                        disciplines (Climatology, Environmental
                                                                                                                                                                                        Science…). The most important feature
                                                                                                                                                                                        that must be taken into account when
                                                                                                                                                                                        working with spatial data is the
                                                                                                                                                                                        dependence structure that observed data
                                                                                                                                                                                        may exhibit. Scientists from other areas are
                                                                                                                                                                                        not always aware of this fact and spatially
                                                                                                                                                                                        dependent data have been thought as
                                                                                                                                                                                        independent. This situation no longer
                                                                                                                                                                                        subsists and Spatial Statistics are
                                                                                                                                                                                        nowadays playing a leading role. Apart
                                                                                                                                                                                        from the practical implications, many
                                                                                                                                                                                        efforts have been devoted to the
                                                                                                                                                                                        development of different techniques for
                                                                                                                                                                                        estimation and prediction with spatial data.
                                                                                                                                                                                        Estimation of the variogram, non-stationary
                                                                                                                                                                                        processes analysis, goodness-of-fit testing
                                                                                                                                                                                        and resampling methods for spatial data
                                                                                                                                                                                        have become research topics of great
                                                                                                                                                                                                                                       Wenceslao González-
                                                                                                                                                                                        interest. The latest advances and              Manteiga. Full professor.
                                                                                                                                                                                        applications of these methodologies in         Department of Statistics.
                                                                                                                                                      Recent Advances in Spatial        different fields would be described and        University of Santiago de
27   Dr. Wenceslao González-Manteiga   wences@zmat.usc.es                                1/14/2005                ii          Bernoulli Society       Statistics                        discussed in this meeting.                     Compostela.




                                                                                                                                                                                                                                   Last updated on: February 15, 2005
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                                                                                          ou
                                                                                                                                                                                                                                                                                         Collaborating




                                                                                                                                         Gu
     1.Name                            3.E-mail address
                                       speakers and their                                                                                                 7.Name of the society




                                                                                          rn
                                                                                                                                                                                                                                                                                         Societies




                                                                                       Be
                                       nationalities and affiliations:
3

                                                                                                                                                                                                                                                       See G25
                                                                                                                                                                                                                                                                               More: See
                                                                                                                                                                                                                                                                               Q25




                                                                                                                                                   (1) Doing things by him-self from a real population, and not only to use computers to simulate a theoretical distribution,
                                       J-H CHAUCHAT, French,                                                                                       students understand each concepts of inference.
                                       Univ.Lyon2; M BOURDEAU,                                                                                     2) In order to understand utility of statistics on social life, it is useful to simulate demographic forecasting for different real
                                       Canadian, Univ.Montréal; E                                                                                  countries, using real mortality and fecundity tables for each country. Such notion as active/inactive ratio and its evolution
25   Jean-Hugues Chauchat              NEUWIRTH, Austria, Univ.Vienna                                                    x                         in different countries became easily understandable.
                                                                                                                                                                                                                     See G26
                                                                                                                                                                                                                                                                                   More: See
                                                                                                                                                                                                                                                                                   Q26




                                       Gauri Sankar Datta; American,
                                       Univ. of Georgia; Rahul Mukerjee,
                                       Indian, Indian Institute of                                                                                 The proposed session covers both frequentist and Bayesian higher order asymptotics, and includes some of the current
                                       Management; Trevor Sweeting,                                                                                active areas of research such as small area estimation, empirical likelihood and inference based on partial prior
26   Malay Ghosh                       British, University College, London.               x                                                        information.

                                                                                                                                                                                                                                                          See i27
                                                                                   More: See
                                       NOEL CRESSIE. Affiliation:                  Q27
                                       Distinguished professor of
                                       Mathematical and Physical
                                       Sciences. Department of Statistics.
                                       The Ohio State University.
                                       Nationality: Australian citizen with
                                       permanent immigrant status in the
                                       USA. Research topics: theory and
                                       applications of spatial and spatio-
                                       temporal stochastic modeling;
                                       Bayes and empirical Bayes
                                       methods.                                                                                                    MONTSERRAT FUENTES.Affiliation: Associate professor.Department of Statistics. North Carolina State University.
                                       MICHAEL STEIN. Affiliation:                                                                                 Nationality: Spanish citizen with permanent Immigrant status in the USA.Research topics: Spatial-temporal models,
                                       Director of CISES (Center for                                                                               spatial statistics, spectral methods, computational methods for large data sets, applications in climate and air quality
                                       Integrating Statistical and                                                                                 modeling, oceanography, atmospheric and environmental science.
                                       Environmental Science) and full                                                                             PETER J. DIGGLE. Affiliation: Professor.Department of Mathematics and Statistics. Lancaster University. Nationality:
                                       professor at the Department of                                                                              British citizen.Research topics: Point processes. Most of the research is motivated by applications in the biomedical or
                                       Statistics.Department of Statistics.                                                                        environmental.
                                       University of Chicago. Nationality:                                                                         SOUMENDRA N. LAHIRI. Affiliation: Professor.Department of Mathematics and Statistics. Iowa State University.
                                       USA.Research topics: statistical                                                                            Nationality: Indian citizen. (No information about immigrant status)Research topics: Environmental Statistics. Resampling
                                       models and methods for spatial                                                                              methods for dependent data. Spatial Statistics.
27   Dr. Wenceslao González-Manteiga   and spatial-temporal processes.                    x




                                                                                                                                                                                                                                                                              Last updated on: February 15, 2005
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                      A                                         B                              C                    D                         E                         F                                   G                                      H

                                                                                                                                                                                       9.Short description of the                     10.Name(s) of the
                                                                                      5.Date of             6.ISI/ISI Section                            8.Title of Proposed
     1.Name                              3.E-mail address                                                                       7.Name of the society                                  Invited Paper Meeting topic                    proposed
                                                                                      submission             representation                              Invited Paper Meeting
                                                                                                                                                                                       incl references                                organiser(s)
3

                                                                                                                                                                                       In multivariate stat and                            More: See
                                                                                                                                                                                       econometrics, boundary                              Q28
                                                                                                                                                                                       estimation (support of a
                                                                                                                                                                                       multivariate pdf) is important. In
                                                                                                                                                                                       production analysis, the frontier is
                                                                                                                                                                                       the locus of optimal production
                                                                                                                                                                                       plans. In finance, it corresponds to
                                                                                                                                                                                       efficient assets combinations.
                                                                                                                                                                                       Nonparametric estimators are
                                                                                                                                                                                       based on the idea of enveloping at             Léopold SIMAR,
                                                                                                                                                                                       best the cloud of the multivariate             Belgian, Institute of
                                                                                                                                                                                       observations (Data Envelopment                 Statistics, University of
28   Léopold Simar                       simar@stat.ucl.ac.be                              1/14/2005                ii          Bernoulli Society        Boundaries Estimation         DEA, Free Disposal Hull FDH).                  Louvain-la-Neuve

                                                                                                                                                                                                                                          More: See
                                                                                                                                                                                       This session is intended to present
                                                                                                                                                                                                                                          Q29
                                                                                                                                                                                       (1) new statistical models for
                                                                                                                                                                                       describing two-loci genetic
                                                                                                                                                                                       interaction in complex binary traits
                                                                                                                                                                                       and their Bayesian analysis by
                                                                                                                                                                                       MCMC methods;
                                                                                                                                                                                       (2) new methods towards
                                                                                                                                                                                       identification of differentially               Carlos Daniel Paulino/
                                                                                                                                                                                       expressed genes in Cystic                      Portuguese/ Instituto
                                                                                                                                                                                       Fibrosis(according an empirical                Superior Técnico,
                                                                                                                                                         Bayesian Methods in           Bayes approach);                               Technical University of
29   Carlos Daniel Paulino               dpaulino@math.ist.utl.pt                          1/14/2005              ii, iii       ISI, Bernoulli Society   Biostatistics                 ...                                            Lisbon



                                                                                                                                                                                       Efficiency of a statistical test is a very
                                                                                                                                                                                       useful notion for
                                                                                                                                                                                       practitioners when they must select the
                                                                                                                                                                                       best test among many competitors.
                                                                                                                                                                                       For theoreticians its calculation poses
                                                                                                                                                                                       many interesting challenging problems
                                         yanikit47@pisem.net OR                                                                                                                        connected with convex analysis, large
                                                                                                                                                                                       deviations, variational calculus,etc.
                                                                                                                                                                                       The aim of the session is to present and to
                                                                                                                                                         Efficiency of Tests: Recent   discuss the developments in the                Yakov Nikitin, Russia,
30   Yakov Nikitin                       Yakov.Nikitin@pobox.spbu.ru                       1/14/2005                ii          Bernoulli Society        Advances                      efficiency theory obtained in last years.      St.Petersburg University


                                                                                                                                                                                       The papers and possible a panel
                                                                                                                                                                                       discussion could address some of the
                                                                                                                                                                                       following points:
                                                                                                                                                                                        A brief description of the available
                                                                                                                                                                                       technologies; their impact on the courses;     Eric Sowey (Australian);
                                                                                                                                                                                       course as problem-driven rather than           David Green (British);
                                                                                                                                                                                       technique driven; the use of exploratory
                                                                                                                                                         How have modern                                                              Neville hunt (British);
                                                                                                                                                                                       data analysis; the choice of data; the time
                                                                                                                                                         technologies changed the      devoted to computer use; simulation for        Adrian Bowman
                                                                                                                                                         curriculum in introductory    theorem verification; personnal work on real   (British); J.P. Florens
31                                      l
     Catherine Pardoux and Lucette Carterucette.carter@wanadoo.fr                          1/14/2005          i: GdSF ii         IASE; IASC              courses                       data analysis; problem of evaluation.          (French).

                                                                                                                                                                                       Information theory, a study on data
                                                                                                                                                                                       compression and
                                                                                                                                                                                       transmission, has its root in mathematical
                                                                                                                                                                                       probability and
                                                                                                                                                                                       statistics. It shares some fundamental
                                                                                                                                                                                       ideas with statistical
                                                                                                                                                                                       inference and it should be of interest to
                                                                                                                                                                                       statisticians. Talks in this
                                                                                                                                                                                       session will cover applications of
                                                                                                                                                                                       information theory both in
                                                                                                                                                                                       theoretical statistics (such as estimation
                                                                                                                                                                                       and model selection) and in
                                                                                                                                                         Information Theory and        empirical statistical analysis (such as        Feng Liang, ISDS, Duke
32   Feng Liang                          feng@stat.duke.edu                                1/14/2005                ii          Bernoulli Society        Statistics                    network tomography).                           University




                                                                                                                                                                                                                                     Last updated on: February 15, 2005
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                                                                                                                                IAS
                                                                                                            IAS
                                                                                         ou
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                                                                                                                                        Gu
     1.Name                             speakers and their
                                        3.E-mail address                                                                                                7.Name of the society




                                                                                         rn
                                                                                                                                                                                                                                                                               Societies




                                                                                      Be
                                        nationalities and affiliations:
3
                                                                                                                                                                                                                                                     See G28
                                                                                                                                                                                                                                                                         More: See
                                                                                                                                                                                                                                                                         Q28




                                        Alois Kneip, German, Univeristy of                                                                        The statistical properties of these estimators are difficult to handle and the bootstrap is one way to produce practical
                                        Mainz, A. Tsybakov, Russian,                                                                              inference. New nonparametric estimators with better statistical performances have been proposed. Hall-Simar (2002)
                                        University of Paris VI, Paul Wilson,                                                                      Estimating a Changepoint, Boundary or Frontier in the presence of noise, JASA. Kneip-Park-Simar (2003) Asymptotics
                                        US, University of Texas, A. Daouia,                                                                       for DEA estimators in nonparam front models. Aragon-Daouia-Thomas-Agnan (2005), Nonparametric Front Estim: a
                                        Marocco, University of Toulouse, S-                                                                       conditional quantile approach, Econometric Theory. Jeong-Simar (2005), Linearly interpolated FDH estimator for
                                        O Jeong, Korean, University of                                                                            nonconvex frontiers
28   Léopold Simar                      Seoul                                            X
                                                                                                                                                                                                                         See G29                                        More: See
                                                                                                                                                                                                                                                                        Q29



                                        Nuno Sepúlveda/ Portuguese/
                                        Instituto Gulbenkian de Ciência;
                                        Lisete Sousa/ Portuguese/
                                        University of Lisbon; Giovani Silva/
                                        Portuguese/ IST, Technical                                                                                ...
                                        University of Lisbon; Paulo Soares/                                                                       (3) a new semiparametric regression analysis of marked point processes in survival settings;
                                        Portuguese/ IST, Technical                                                                                (4) new Bayesian methods of log-linear analysis for informatively incomplete categorical data with prior information about
29   Carlos Daniel Paulino              University of Lisbon                    X        X                                                        the original parameters of the Multinomial model for the observable counts.


                                        T.Ledwina,T.Inglot
                                        (Poland,Wroclaw),
                                        W.Kallenberg (The Netherlands,
                                        Twente), M.Arcones (USA,
                                        Binghampton),
                                        Q.-M.Shao(USA, Oregon), M.Hallin
                                        (Belgium, Brussels), N.Stepanova
                                        (Canada, Carleton),
                                        A.Mogulski (Russia, Novosibirsk),
30   Yakov Nikitin                      etc.                                    X        X




31   Catherine Pardoux and Lucette Carter                                       X                             X         X




                                        Yuhong Yang, University of
                                        Minnesota; Gang Liang, University
                                        of California, Irvine; Peter
                                        Grunwald, CWI, Netherlands; Feng
32   Feng Liang                         Liang, Duke University;                          X




                                                                                                                                                                                                                                                                     Last updated on: February 15, 2005
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                        A                                B                                    C                     D                        E                        F                                     G                                     H

                                                                                                                                                                                       9.Short description of the                      10.Name(s) of the
                                                                                     5.Date of             6.ISI/ISI Section                           8.Title of Proposed
     1.Name                          3.E-mail address                                                                          7.Name of the society                                   Invited Paper Meeting topic                     proposed
                                                                                     submission             representation                             Invited Paper Meeting
                                                                                                                                                                                       incl references                                 organiser(s)
3

                                                                                                                                                                                       In recent years, the quality of data        More: See
                                                                                                                                                                                       available in finance has improved           Q33
                                                                                                                                                                                       substantially, especially with the
                                                                                                                                                                                       advent of high freqency data (in
                                                                                                                                                                                       some cases observations as often
                                                                                                                                                                                       as several times per second). This
                                                                                                                                                                                       provides new opportunities for
                                                                                                                                                                                       using sophisitcated statistcal
                                                                                                                                                                                       approaches to such data.
                                                                                                                                                                                       The three proposed speakers are
                                                                                                                                                                                       leaders in this effort, a revolution
                                                                                                                                                                                       that is in the process of            Per Mykland (Norway
                                                                                                                                                                                       transforming transforming            USA), University of
33   Per Mykland                     mykland@galton.uchicago.edu                          1/14/2005                 ii         Bernoulli Society       Statistics and Finance          financial econometrics.              Chicago



                                                                                                                                                                                       Interacting particle systems is now an
                                                                                                                                                                                       important area of Probability Theory.
                                                                                                                                                                                       This session will present a few topics
                                                                                                                                                                                       of new researchs. In particular, the
                                                                                                                                                                                       relation of these systems and quasi
                                                                                                                                                                                       stationary distributions, with queing
                                                                                                                                                                                       theory and with fase transition in
34   Pablo A. Ferrari                pablo@ime.usp.br                                     1/14/2005                 ii                                 Interacting particle systems    Statistical Mechanics.                 Pablo A. Ferrari
                                                                                                                                                                                                                                      More: See
                                                                                                                                                                                                                                      Q35
                                                                                                                                                                                       Data Mining, Quality-Control Mining,
                                                                                                                                                                                       and Text Mining make use of all the
                                                                                                                                                                                       'traditional statistical procedures' plus
                                                                                                                                                                                       the newer Artificial Intelligence /
                                                                                                                                                                                       Machine Learning Algorithms.
                                                                                                                                                                                       Although a very small segment of the
                                                                                                                                                                                       business-world has used this
                                                                                                                                                                                       technology, to its clear advantage, for
                                                                                                                                                                                       10 years, most of the business,
                                                                                                                                                                                       governmental,and industrial world has
                                                                                                                                                                                       only started using "data mining
                                                                                                                                                                                       technology" during the past four years,
                                                                                                                                                                                       and academia is only beginning to
                                                                                                                                                       DATA MININER, QC-Mining,        discover the 'distinct advantages' and          Gary Miner, Ph.D.;
                                                                                                                                                       Text Mining and Comparison                                                      Linda A. Miner, Ph.D.;
     Gary D. Miner, Ph.D. and                                                                                                                          of AI / Machine Learning
                                                                                                                                                                                       enhanced predictive power of these
                                                                                                                                                                                       technologies, utilizing various areas of        Paolo F. Ricci, Ph.D.
35   Linda A. Winters-Miner, Ph.D.   gary@statsoft.com                                    1/14/2005                iii                                 Statistical Algorithms          Bayesian statistics.                            LLM


                                                                                                                                                                                       The speakers of this session will present
                                                                                                                                                                                       research in which robustness will be a
                                                                                                                                                                                       basic philosophical approach to statistics,
                                                                                                                                                                                       motivated by the realities of data analysis.
                                                                                                                                                                                       Both theoretical and applied research will
                                                                                                                                                                                       be presented, and the interaction between
                                                                                                                                                                                                                                       Luisa T. Fernholz
                                                                                                                                                                                       statistical theory and statistical computing
                                                                                                                                                                                       will be highlighted as a way to create new      (Temple University,
                                                                                                                                                                                       methodologies that offer powerful tools for     USA,
36   Graciela Boente                 gboente@dm.uba.ar                                    1/14/2005               ii,iii       Bernoulli Society       Robustness and Data Analysis    analyzing data.                                 fernholz@temple.edu)


                                                                                                                                                                                       Soft indicators of public sector performance           More: See
                                                                                                                                                                                       (such as satisfaction and trust, and as                Q37
                                                                                                                                                                                       opposed to "hard" indicators such as
                                                                                                                                                                                       budget and output) more and more
                                                                                                                                                                                       influence the debate on reforms of
                                                                                                                                                                                       government (Bouckaert & Van de Walle,
                                                                                                                                                                                       2003). In order to measure changes of
                                                                                                                                                                                       satisfaction and trust, governments
                                                                                                                                                                                       increasingly apply surveys. In this
                                                                                                                                                                                       contribution, we point at a fundamental
                                                                                                                                                                                       weakness of soft indicators, which is their
                                                                                                                                                                                       sensitivity to the mode of data collection
                                                                                                                                                                                       (face-to-face, mail) and to the context of
                                                                                                                                                       The Impact of Survey            surveying (e.g., government initiative
                                                                                                                                                       Methodology and Context on      versus university initiative; long versus
37   Dr. Jarl K. Kampen              jarl.kampen@soc.kuleuven.ac.be                       1/15/2005                iii                                 Soft Indicators of Government   short survey).




                                                                                                                                                                                                                                      Last updated on: February 15, 2005
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                                                                                      ou
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                                                                                                                                     Gu
     1.Name                          speakers and their
                                     3.E-mail address                                                                                                7.Name of the society




                                                                                      rn
                                                                                                                                                                                                                                                                                Societies




                                                                                   Be
                                     nationalities and affiliations:
3

                                                                                                                                                                                                                                                 See G33
                                                                                                                                                                                                                                                                            More: See
                                                                                                                                                                                                                                                                            Q33




                                                                                                                                               Technicques that have been invented by the proposed speakers draw
                                                                                                                                               heavily on both finance, nonparametric statistics, and insights from,
                                     Jianqing Fan (USA, Princeton),                                                                            probability, such as stochastic calculus. Topics that have been pursued
                                     Lan Zhang (China, Carnegie                                                                                by the speakers include the combination of localization in time and
                                     Mellon University), Michael                                                                               space, the insight that securities prices have ``measurement error'',
33   Per Mykland                     Sorensen (Denmark)                               X                                                        and the theory of likelihood inference and estimating equations.




                                     Errico Presutti (Roma Tor
                                     Vergata), Stefano Olla (Paris
                                     Dauphine), Amine Asselah
                                     (marseille), James Martin (CNRS),
                                     Serguei Popov (Sao Paulo), Servet
34   Pablo A. Ferrari                Martinez (Chile)                                 X
                                                                                                                                                                                                                                                                    More: See
                                                                                                                                                                                                                                                   See G35
                                                                                                                                                                                                                                                                    Q35




                                     Gary Miner and Linda Miner - USA;
                                     Paolo Ricci, Italy, USA & Australia;
     Gary D. Miner, Ph.D. and        Sachin Lahoti, India; Kiron
35   Linda A. Winters-Miner, Ph.D.   Mathew, India                           X                                                                 Thus, it is important that the statistical world becomes fully congnizant of the usefulness of these technologies.




                                      1. David Tyler, Rutgers University,
                                     USA
                                     2. J. Cabrera (Spain) Rutgers
36   Graciela Boente                 University                              X        X

                                                                                                                                                                                                                                            See G37                         More: See
                                                                                                                                                                                                                                                                            Q37




                                                                                                                                               Statistical analyses reveal that the mode effect could amount upto a 10% change of item nonresponse and a 9% change
                                                                                                                                               of the level of trust, whereas the context effect could lead upto a 19% change of the bivariate associations of trust. The
                                                                                                                                               observed changes of both measures of central tendency and of associations affect conclusions of survey research in
37   Dr. Jarl K. Kampen                                                      X                                                                 isolated studies.




                                                                                                                                                                                                                                                                       Last updated on: February 15, 2005
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                                                                                                                                                                                                                                     Page 17 / 26




                        A                         B                                C                    D                         E                       F                                G                              H

                                                                                                                                                                          9.Short description of the             10.Name(s) of the
                                                                          5.Date of             6.ISI/ISI Section                           8.Title of Proposed
     1.Name                   3.E-mail address                                                                      7.Name of the society                                 Invited Paper Meeting topic            proposed
                                                                          submission             representation                             Invited Paper Meeting
                                                                                                                                                                          incl references                        organiser(s)
3

                                                                                                                                                                        Seasonal adjustment is still a        More: See
                                                                                                                                                                        challenging topic in particular for   Q38
                                                                                                                                                                        official statisticians and remains
                                                                                                                                                                        an active field for research. For
                                                                                                                                                                        example, 5 sessions were
                                                                                                                                                                        dedicated to seasonal adjustment
                                                                                                                                                                        during the last JSM in Toronto
                                                                                                                                                                        (August 2004).
                                                                                                                                                                        Every year, a lot of contributions
                                                                                                                                                                        are made in order to improve
                                                                                                                                                                        existing methods and to propose
                                                                                                                                            New Developements in        new solutions to seasonal           Dominique Ladiray,
38   Ladiray Dominique        dominique.ladiray@insee.fr                       1/19/2005                ii                                  Seasonal Adjustment Methods adjustment problems.                French, INSEE


                                                                                                                                                                                                                    More: See
                                                                                                                                                                                                                    Q39
                                                                                                                                                                          Assumptions on shapes and
                                                                                                                                                                          constraints for multivariate
                                                                                                                                                                          inference can be viewed as an
                                                                                                                                                                          alternative to dimension reduction,
                                                                                                                                                                          or complexity reduction.
                                                                                                                                                                          Many fields fit into this framework.
                                                                                                                                                                          An example is functional data
                                                                                                                                                                          analysis, where it makes sense to
                                                                                                                                                                          align functions according to their
                                                                                                                                                                          shapes.
                                                                                                                                                                          Other work has qualitative
                                                                                                                                                                          features as target of the analysis.
                                                                                                                                                                          They can be seen as low
                                                                                                                                                                          dimensional objects, or
                                                                                                                                                                          functionals of the distribution,
                                                                                                                                            Shapes and constraints in     resulting in an implicit complexity
39   Wolfgang Polonik         wpolonik@ucdavis.edu                             1/27/2005                ii          Bernoulli Society       statistical inference         reduction.

                                                                                                                                                                                                                     More: See
                                                                                                                                                                                                                     Q40
                    See A39




                                                                                                                                                                          Assumptions on shapes and
                                                                                                                                                                          constraints for multivariate
                                                                                                                                                                          inference can to a certain extend
                                                                                                                                                                          be viewed as an alternative to
                                                                                                                                                                          dimension reduction, or maybe
                                                                                                                                                                          better complexity reduction.
                                                                                                                                                                          This of course if of great
                                                                                                                                                                          importance in modern statistical
                                                                                                                                                                          inference. There are many fields
                                                                                                                                                                          in statistics which fit into this
                                                                                                                                                                          framework. An example is
                                                                                                                                                                          functional data analysis, where it
                                                                                                                                                                          makes sense to "align" functions
                                                                                                                                                                          according
                                                                                                                                                                          to their shapes. Another direction
                                                                                                                                                                          of work aims at qualitative
                                                                                                                                                                          features of the underlying
                                                                                                                                                                          distributions as target of the
                                                                                                                                                                          analysis. These features can be
                                                                                                                                                                          interpreted as "low dimensional
                                                                                                                                                                          objects", or functionals of the
                                                                                                                                            Shapes and constraints in     distribution, and hence there is an
40   Wolfgang Polonik                                                                                   ii          Bernoulli Society       statistical inference         implicit complexity reduction.




                                                                                                                                                                                                             Last updated on: February 15, 2005
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                                                                                                            IAS



                                                                                                                      IAS
                                                                                                  IAS
                                                                               ou
                                                                                                                                                                                                                                                                           Collaborating




                                                                                                                              Gu
     1.Name                   3.E-mail address
                              speakers and their                                                                                               7.Name of the society




                                                                               rn
                                                                                                                                                                                                                                                                           Societies




                                                                            Be
                              nationalities and affiliations:
3

                                                                                                                                                                                                                                           See G38              More: See
                                                                                                                                                                                                                                                                Q38



                                                                                                                                        For just a few examples:
                                                                                                                                        1 - The US Bureau of Census will soon release the new version of X-12-ARIMA which incorporates both X-12 and
                                                                                                                                        SEATS,
                              David Findley (US Bureau of                                                                               2 - The OECD Task Force on Data Presentation and Seasonal Adjustment came up in 2004 with recommendations for a
                              Census), Agustin Maravall (Bank                                                                           metadata and reporting manual,
                              of Spain), Benoît Quenneville                                                                             3 - New methods to seasonally adjust daily, weekly and other periodic data are under development at the INSEE,
                              (Statistics Canada), Dominique                                                                            I already had contacts with A. Maravall (Bank of Spain), D. Findley (US Bureau of Census) and B. Quenneville (Statistics
38   Ladiray Dominique        Ladiray (INSEE, France)                                     X                                             Canada) who support this initiative and are ready to contribute to this session.

                                                                                                                                                                                                                                            See G39
                                                                                                                                                                                                                                                                  More: See
                                                                                                                                                                                                                                                                  Q39




                              G. Walther, Stanford University; H.-
                              G. Mueller, UC Davis, P. Hall,                                                                            One such methodology is bump hunting. A particular example is the PRIM algorithm of Friedman and Fisher. For
                              ANU,;A. B. Tsybakov, University                                                                           univariate cases see G. Walter, L. Davies and A. Kovac.
                              Paris VI; L. Davies, University of                                                                        Another shape aspect in PRIM is that the algorithm is working with rectangles which in itself constitutes a shape
                              Essen, Germany; Ming-Yen                                                                                  constraint. Other work using shape restrictions is related to classification, for a classifyer for a two class problem can be
39   Wolfgang Polonik         Cheng, National Taiwan University                X                                                        interpreted as a set (Tsybakov, 2004).

                                                                                                                                                                                                                                             See G40                More: See
                                                                                                                                                                                                                                                                    Q40
                    See A39




                                                                                                                                        One particular instance of such an methodology is bump hunting, and an particular example for such a method is the
                                                                                                                                        PRIM algorithm of Friedman and Fisher. There is another shape aspect in PRIM, namely, the algorithm is working with
                                                                                                                                        rectangular shapes which in itself constitutes a shape constraint or complexity reduction. Other work using shape
                              G. Walther, Stanford University                                                                           restrictions in this sense are related to classification, since a classifyer for a two class problem can be interpreted as a set
                              P. Hall, ANU                                                                                              (see Tsybakov, 2004).
                              A. B. Tsybakov, University Paris VI
                              L. Davies, University of Essen                                                                            All the above are problems of multivariate nature. However, even in the univariate case there are interesting open
                              Ming-Yen Cheng, National Taiwan                                                                           problems in the area of bump hunting, as can be seen in recent work by G. Walter or L. Davies and A. Kovac. It is work
40   Wolfgang Polonik         University                                       X                                                        along these lines that I envision to be presented in this section.




                                                                                                                                                                                                                                                                Last updated on: February 15, 2005
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                                                                                                                                                                           9.Short description of the              10.Name(s) of the
                                                                        5.Date of             6.ISI/ISI Section                           8.Title of Proposed
     1.Name                   3.E-mail address                                                                    7.Name of the society                                    Invited Paper Meeting topic             proposed
                                                                        submission             representation                             Invited Paper Meeting
                                                                                                                                                                           incl references                         organiser(s)
3

                                                                                                                                                                                  More: See Q41                    Organizer: Prof. Michelle
                                                                                                                                                                                                                   Liou, Institute of
                                                                                                                                                                                                                   Statistical Science;
                                                                                                                                                                           The use of modern techniques in         Chair: Prof. John Aston,
                                                                                                                                                                           brain science makes greater             Institute of Statistical
                                                                                                                                                                           demands on statistical                  Science
                                                                                                                                                                           methodologies, now more than
                                                                                                                                                                           ever. Research into brain               Discussants: Prof.
                                                                                                                                                                           structure/ connectivity and neural      Fernando Lopes da
                                                                                                                                                                           circuits has been conducted using       Silva, Swammerdam
                                                                                                                                                                           techniques such as magnetic             Institute for Life
                                                                                                                                                                           resonance imaging (MRI),                Sciences;
                                                                                                                                                                           positron emission tomography            Prof. Philip E. Cheng,
                                                                                                                                                                           (PET), and electro/                     Institute of Statistical
                                                                                                                                                                           magnetoencephalography                  Science, Academia
41   Michelle Liou            mliou@stat.sinica.edu.tw                                                ii          Bernoulli Society                                        (EEG/MEG).                              Sinica

                                                                                                                                                                                          More: See
                                                                                                                                                                                          Q42




                                                                                                                                                                           The analysis of microarray data is
                                                                                                                                                                           the focus of much of recent
                                                                                                                                                                           statistical research. However,
                                                                                                                                                                           each microarray experiment is
                                                                                                                                                                           commonly viewed in isolation. It is
                                                                                                                                                                           generally believed that for a more
                                                                                                                                                                           thorough understanding of
                                                                                                                                                                           complex biological systems we           Rebecka Jornsten
                                                                                                                                                                           need to pool knowledge from             (Swedish), Department
                                                                                                                                                                           multiple microarray data sets as        of Statistics, Rutgers
42   Rebecka Jornsten         rebecka@stat.rutgers.edu                                                ii          Bernoulli Society                                        well as other data sources.             University, USA


                                                                                                                                                                          There is a long list of applications      More: See
                                                                                                                                                                          of information theoretic entropic-        Q43
                                                                                                                                                                          optimization principles in physical,
                                                                                                                                                                          biological, social, managemen,
                                                                                                                                                                          business and engineering
                                                                                                                                                                          sciences and technology.The
                                                                                                                                                                          reason for their versality is that all
                                                                                                                                                                          systems are information theoretic
                                                                                                                                                                          and any principle that helps us in       1. Dr. Om Parkash,
                                                                                                                                                                          measuring minimum and                    G.N.D. University,
                                                                                                                                                                          maximum information are bound            Amritsar, India.
                                                                                                                                                                          to be useful.The proposed                2. Dr. Parmil Kumar,
                                                                                                                                          Entropy Optimization            invitedpaper meeting will give new       Jammu University,
                                                                                                                                          Principles with Applications in insights into application of entropy     Jammu
43   Prof. D.S.Hooda          ds_hooda@rediffmail.com                                                 iii         N.A.                    Statistics                      optimisation principles.                 (J&K)

                                                                                                                                                                         This session will not only describe
                                                                                                                                                                         the statistics training programs in             More: See
                                                                                                                                                                         major Latin American countries,                 Q44
                                                                                                                                                                         but also emphasize the links (if
                                                                                                                                                                         any) among countries that share a
                                                                                                                                                                         common historical ancestry and
                                                                                                                                                                         language. The focus will be on            Shrikant I. Bangdiwala,
                                                                                                                                          Training of Statisticians in   relationships between Portugal            USA, University of North
                                                                                                                                          Iberoamerica and Iberia: What with Brazil and between Spain and          Carolina at Chapel Hill -
                                                                                                                                          are the links and what are the Spanish-speaking Latin American           ISI member, IASE
44   Shrikant I. Bangdiwala   kant@unc.edu                                   2/13/2005                ii          IASE                    gaps?                          countries.                                member




                                                                                                                                                                                                                Last updated on: February 15, 2005
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                                                                                                  IAS
                                                                               ou
                                                                                                                                                                                                                                                                         Collaborating




                                                                                                                              Gu
     1.Name                   speakers and their
                              3.E-mail address                                                                                                 7.Name of the society




                                                                               rn
                                                                                                                                                                                                                                                                         Societies




                                                                            Be
                              nationalities and affiliations:
3

                                                                                                                                                                                                                              More: See Q41
                                                                                                                                                                                                                                     See G41
                              Prof. Keith J Worsley, Department
                              of Mathematics and Statistics,
                              McGill University, ―Random fields,                                                                        Statistics must be able to identify scientific patterns inherent in noisily spatio-temporal data sets collected using modern
                              astrophysics, brain imaging and                                                                           imaging techniques This session will be concerned with recent topics and challenges in both statistical theory and
                              ‗bubbles‘‖                                                                                                methods for understanding brain structure and its dynamic systems.

                              Prof. Tohru Ozaki, The Institute of                                                                       References:
                              Statistical Mathematics, ―Spatial                                                                         Martinex-Montes, E, Valdes-Sosa, PA, Miwakeichi, F, Goldman, RI & Cohen, M (2004). Concurrent EEG/fMRI analysis by
                              temporal modeling of EEG/fMRI for                                                                         multiway partial least squares, NeuroImage, 22, 1023-1034.
                              the study of brain connectivity‖
                                                                                                                                        Worsley, KJ, Taylor, JE & Tomaiuolo, F (2004). Unified univariate and multivariate random field theory. NeuroImage, in
                              Prof. Pedro A. Valdes-Sosa,                                                                               press.
                              Cuban Neuroscience Center,
                              ―Concurrent EEG/fMRI analysis‖                                                                            Yamashita, O, Galka, A, Ozaki, T, Biscay, R & Valdes-Sosa, PA (2004). Recursive least squares solution for dynamic
41   Michelle Liou                                                             X                                                        inverse problems of EEG generation, Human Brain Mapping, 21, 221-235.
                                                                                                                                        We list some important biological questions of interest here.                                           See G42
                                                                                                                                        1. Is gene co-expression conserved among organisms?                                         More: See
                                                                                                                                        Attempts have been made at answering these questions by looking at the relation between pairwise correlations between
                                                                                                                                                                                                                                    Q42
                                                                                                                                        genes in one organism and the pairwise correlations between their corresponding orthologoues in other species. This type
                                                                                                                                        of analysis may improve the functional annotation of genes.
                                                                                                                                        2. Are the regulatory regions of functional groups of genes conserved among organisms?
                                                                                                                                        This questions relates to investigating gene expression data and DNA sequence data jointly. This type of analysis may
                                                                                                                                        also shed light on phylogeny. Preliminary analysis suggests that phylogenetic distances cannot be inferred from
                                                                                                                                        expression data alone.
                                                                                                                                        3.Cross-species extrapolation.
                                                                                                                                        Many genomic studies focus on human diseases. However, human studies often have serious limitations. Can reliable
                                                                                                                                        and relevant information be extracted from large-scale animal model studies? To answer these types of questions,
                                                                                                                                        microarray data sets from multiple species have been analyzed. The experimental conditions, and set of genes in each
                                                                                                                                        study, have only partial overlap, which makes such cross-species analysis particularly challenging.
                              (to be expanded)
                              Sunduz Keles, Department of                                                                               Our goal for this session is to present a rich set of research problems related to the analysis of multiple platforms-multiple
                              Statistics, University of Wisconsin,                                                                      species data. The data formats present special challenges and much input is needed from the statistical community to
                              USA                                                                                                       develop better analysis methods.
                              Saeed Tavazoie, Department of                                                                             We propose to invite speakers from both statistics and biology, to present initial work and their view of the problems at
                              Molecular Biology, Princeton                                                                              hand.
42   Rebecka Jornsten         University, USA                                  X

                                                                                                                                                                                                                                            See G43          More: See
                                                                                                                                                                                                                                                             Q43



                              Prof. Aman Ullah, University of
                              California.
                              2.Prof. Lynne M.Batten, Deeakin
                              University, Australia.                                                                                    REFERENCES
                              3. Dr. Omparkash,                                                                                         1. D.V.Gokhale and S.Kullback: The information in contingency tables. Macel-Decker, New York, 1978.
                              G.N.D.University, Amritsar.                                                                               2. D.S.Hooda and B.K.Hooda:On measurement of stochastic dependence in multivariate data.Indian Journal of Pure and
                              4. Dr. Parmil Kumar, Jammu                                                                                Applied Mathematics, 32,2001, 801-16.
                              University, Jammu (J&K).                                                                                  3.J.N.Kapur and H.K.Keshavan: Generalized Entropy Optimization Principles with applications. Acdemic Press,New
                              5. Prof. B.K.Das, University of                                                                           yorl,1992.
43   Prof. D.S.Hooda          Delhi, Delhi (INDIA).                   X                                                                 4 S.Kullback: Information theory and statistics. John Wiley, New York,1959.                                        ISI Committee
                              1. Raul Mentz, Universidad
                              Nacional de Tucuman, Argentina;
                              2. Julio Singer, Universidade de                                                                                                                                                                                                     More: See
                              Sao Paulo, Brazil; 3. Sergio                                                                                                                                                                                                         Q44
                              Muñoz, Universidad de La
                              Frontera, Chile; 4. Victor Perez                                                                          Major themes to address:
                              Abreu, Instituto Nacional de                                                                              1. Why there are not many statisticians in Latin America and how to change it.                           See G44
                              Estadistica, Mexico; 5. Ma. Nelcy                                                                         2. Is the training too technical/theoretical, less applied?
                              Rodriguez, Universidad Nacional,                                                                          3. Who enters the field of statistics in such countries?
                              Colombia; 6. Carmen Batanero,                                                                             As ISI seeks to expand its membership in countries where there has been small representation, this topic is of special
                              Universidad de Granada, Spain; 7.                                                                         interest since the meeting is in Portugal                                                                                        IASE Organizing
44   Shrikant I. Bangdiwala   President - Portuguese Statistical                                              X                         Speakers will be invited from Portugal and Brazil; and Spain and Argentina, Chile, Mexico, Colombia, and Costa Rica              Committee




                                                                                                                                                                                                                                                              Last updated on: February 15, 2005
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                                                                                                                                                                     9.Short description of the               10.Name(s) of the
                                                                    5.Date of             6.ISI/ISI Section                           8.Title of Proposed
     1.Name               3.E-mail address                                                                    7.Name of the society                                  Invited Paper Meeting topic              proposed
                                                                    submission             representation                             Invited Paper Meeting
                                                                                                                                                                     incl references                          organiser(s)
3




                                                                                                                                                                                                                    More: See
                                                                                                                                                                                                                    Q45
                                                                                                                                                                     This session aims to use the
                                                                                                                                                                     widespread interest in sport to
                                                                                                                                                                     demonstrate variability
                                                                                                                                                                     phenomena that arise in many
                                                                                                                                                                     fields of study. Instead of
                                                                                                                                                                     demonstrating statistical tools with
                                                                                                                                                                     sport applications, the session
                                                                                                                                                                     shows how, starting with a
                                                                                                                                                                     realistic sport situation or practical
                                                                                                                                                                     issue, investigation with simple
                                                                                                                                                                     tools can reveal surprising results,
                                                                                                                                                                     advancing students intuitive
45   Larry Weldon         weldon@sfu.ca                                  2/13/2005                ii          IASE                                                   understanding of randomness.

                                                                                                                                                                     Curriculum in undergraduate                 More: See
                                                                                                                                                                     Statistics is often affected by             Q46
                                                                                                                                                                     advances in research and success
                                                                                                                                                                     in new fields of application. This
                                                                                                                                                                     topic explores ways in which the
                                                                                                                                                                     development of technology affects
                                                                                                                                                                     the curriculum, either by
                                                                                                                                                                     eliminating some topics, or adding
                                                                                                                                                                     topics, or moving topics or
                                                                                                                                                                     concepts earlier in the curriculum.
                                                                                                                                                                     A trivial example is the nearly
                                                                                                                                                                     complete elimination of the         Robert Gould, USA,
                                                                                                                                                                     "calculator" formula for sample     UCLA, Department of
46   Robert Gould         rgould@stat.ucla.edu                           2/13/2005                ii          IASE                    Technology and Curriculum      standard deviation.                 Statistics

                                                                                                                                                                  Abstract                                     More: See
                                                                                                                                                                  In the emerging field of statistical         Q47
                                                                                                                                                                  education research, more
                                                                                                                                                                  attention is being paid to how
                                                                                                                                                                  students reason about data as an
                                                                                                                                                                  aggregate group, coming to
                                                                                                                                                                  understand a distribution in a
                                                                                                                                                                  global sense, rather than focusing
                                                                                                                                                                  on individual values. Students
                                                                                                                                                                  need a firm understanding of the
                                                                                                                                                                  concept of distribution in order to
                                                                                                                                                                  interpret graphical representations
                                                                                                                                                                  of data, to compare groups of
                                                                                                                                                                  data, recognize covariation, to
                                                                                                                                                                  think statistically about the role of
                                                                                                                                      Research on Reasoning about variation of data, and making         Joan Garfield, US,
47   Joan Garfield        jbg@umn.edu                                    2/14/2005                ii          IASE                    Distribution                inferences about data.                University of Minnesota

                                                                                                                                                                     Economists are faced with the
                                                                                                                                                                                                                    More: See
                                                                                                                                                                     task of absorbing a constant flow
                                                                                                                                                                                                                    Q48
                                                                                                                                                                     of new knowledge in their field of
                                                                                                                                                                     practice and conduct their own
                                                                                                                                                                     research.
                                                                                                                                                                     2.Economical students,
                                                                                                                                                                     postgraduate trainees must
                                                                                                                                                                     possess the tools and abilities to
                                                                                                                                                                     understand the issues related to
                                                                                                                                                                     designing a valid scientific study
                                                                                                                                                                     and to comprehend the
                                                                                                                                                                     quantitative aspects of economical
                                                                                                                                                                     research.
                                                                                                                                                                     They must also acquire the ability
                                                                                                                                                                     to interpret and critically evaluate
                                                                                                                                                                     this research in order to determine      Ruslan Motoryn,
                                                                                                                                                                     how and to what extent the               Ukraine, Prof.,dr. of Kiev
                                                                                                                                      Statistical Training and       findings can be applied to their         National University of
48   Ruslan Motoryn       motoryn@i-c.com.ua                             2/14/2005                ii          IASE                    Education of Economists        own activities.                          Economics




                                                                                                                                                                                                          Last updated on: February 15, 2005
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                                                                                   IAO




                                                                                                      IAS



                                                                                                                IAS
                                                                                            IAS
                                                                         ou
                                                                                                                                                                                                                                                                Collaborating




                                                                                                                        Gu
     1.Name               speakers and their
                          3.E-mail address                                                                                              7.Name of the society




                                                                         rn
                                                                                                                                                                                                                                                                Societies




                                                                      Be
                          nationalities and affiliations:
3




                                                                                                                                                                                                                                           See G45
                                                                                                                                                                                                                                                         More: See
                                                                                                                                                                                                                                                         Q45




                                                                                                                                  Some relevant references of the proposed speakers:
                                                                                                                                  1. de Silva, Basil M. , and Swartz, Tim B. (1997), ``Winning the coin toss and the home team advantage in one-day
                                                                                                                                  international cricket matches'', New Zealand Statistician [Became: @J(AusNZJSt)], 32 (2) , 16-22
                                                                                                                                  2. Clarke, Stephen R. , and Norman, John M. (1995), ``Home ground advantage of individual clubs in English soccer'',
                                                                                                                                  The Statistician, 44 , 509-521
                                                                                                                                  3. Lock, Robin (2002), ``Offense and defense as predictors of team success'', Stats. The Magazine for Students of
45   Larry Weldon                                                                                                                 Statistics, 0 (34) , 22-25


                                                                                                                                                                                                                                                          More: See
                                                                                                                                                                                                                                                          Q46


                                                                                                                                                                                                                                        See G46




                          Mark Hansen, US, UCLA; Arthur                                                                           A more controversial proposal (IASE Roundtable 2004) is the elimination of boxplots from middle-school curriculum.
                          Bakker, Netherlands, Utrecht; Tim                                                                       This topic will also welcome speculation about how the curriculum might be changed in the future to adapt to new
46   Robert Gould         Erickson, US, Fathom Software                                                 X                         technologies to handling massive data and very fast computations.

                                                                                                                                                                                                                                                              More: See
                                                                                                                                                                                                                                                                    See G47
                                                                                                                                                                                                                                                              Q47




                          Maxine Pfannkuch, NZ, University
                          of Auckland; Dani Ben-Zvi, Israel,
                          University of Haifa; Andee Rubin,
                          USA, TERC; Chris Reading, AU,
                          University of New England; Beth                                                                         The papers in the suggested session present current research on different aspects of reasoning about distribution. They
                          Chance, USA, Cal Poly San Luis                                                                          examine students at different age levels as well as secondary teachers' conceptions. The discussion will include uses of
                          Obispo; Dave Pratt, UK, University                                                                      technological tools to promote distributional reasoning, assessment of this reasoning, and curricular implications at all
47   Joan Garfield        of Warwick                                                                    X                         educational levels.                                                                                                           unknown at this time

                                                                                                                                                                                                                                                         More: See G48
                                                                                                                                                                                                                                                         Q48




                          Members of ISI: Prof. Yury Ivanov
                          (Russia); Prof. Guido Ferrari
                          (Italy);Prof. Helmut Maier                                                                              3.This session offers views and experiences of leading economic statistical educators from various backgrounds who will
                          (Germany);Prof. Aleksandr Zelias                                                                        report on different approaches and styles of teaching economic statistics.
                          (Poland);Prof. Byung-Soo Kim                                                                            4.Relations between statistics and economics need to address statisticians as academics, teachers and professionals.
48   Ruslan Motoryn       (Korea).                                                                      X                         5.References: Economic statistics(2005)Textbook,Kyiv.                                                                         unknown at this time




                                                                                                                                                                                                                                                     Last updated on: February 15, 2005
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                                                                                                                                                                                                                                             Page 23 / 26




                      A                               B                                  C                    D                         E                         F                              G                                 H

                                                                                                                                                                                 9.Short description of the            10.Name(s) of the
                                                                                5.Date of             6.ISI/ISI Section                           8.Title of Proposed
     1.Name                       3.E-mail address                                                                        7.Name of the society                                  Invited Paper Meeting topic           proposed
                                                                                submission             representation                             Invited Paper Meeting
                                                                                                                                                                                 incl references                       organiser(s)
3
                                                                                                                                                                                 Many teachers of statistics believe
                                                                                                                                                                                 that simulations help students to
                                                                                                                                                                                 understand fundamental concepts
                                                                                                                                                                                 of probability and statistical            More: See
                                                                                                                                                                                 inference.                                Q49
                                                                                                                                                                                 Empirical educational research
                                                                                                                                                                                 concerning this claim is rare. The
                                                                                                                                                                                 session should bring together
                                                                                                                                                                                 empirical researchers and initiate
                                                                                                                                                                                 in advance a collaborative review
                                                                                                                                                                                 of research that can be presented
                                                                                                                                                                                 in the session to a wider public.
                                                                                                                                                                                 Also, specific new reserach
                                                                                                                                                                                 approaches, namely qualitative
                                                                                                                                                                                 studies beside quantitative ones,     Rolf Biehler, University
                                                                                                                                                  Research on the use of         should be included and discussed      of Kassel, Dept of
                                                                                                                                                  simulation in teaching         with regard to their scope and        Mathematics /
49   Rolf Biehler                 biehler@mathematik.uni-kassel.de                   2/14/2005                ii          IASE                    statistics and probability     limitations.                          Informatics
                                                                                                                                                                                 In an ever evolving technological
                                                                                                                                                                                 world, statistics education is also       More: See
                                                                                                                                                                                 changing. The Internet alone              Q50
                                                                                                                          IASE                                                   provides a rich source of
                                                                                                                                                                                 resources for teaching statistics
                                                                                                                                                                                 and innovative teaching
                                                                                                                          Name of the Guest                                      approaches. This session
                                                                                                                                                                                 highlights recent projects which
                                                                                                                          Society: Consortium                                    assist statistics educators in
                                                                                                                          for the Advancement                                    facing the challenge of
                                                                                                                                                                                 determining the best approaches
                                                                                                                          of Undergraduate                                       for utilizing the diversity of
                                                                                                                                                  Optimizing Internet-based      teaching resources and methods
                                                                                                                          Statistics Education    Resources for Teaching         available through using the
50   Ginger Holmes Rowell         rowell@mtsu.edu                                    2/14/2004                ii          (CAUSE)                 Statistics                     Internet.                             Ginger Holmes Rowell




                                                                                                                                                                                                                       More: See
                                                                                                                                                                                                                       Q51
                                                                                                                                                                                 In observational data, association
                                                                                                                                                                                 is certainly not a clear sign of
                                                                                                                                                                                 causation. Yet most students
                                                                                                                                                                                 studying statistics are in majors
                                                                                                                                                                                 such as business or the social
                                                                                                                                                  Observational Studies,         sciences where observationally     Milo Schield, USA, ASA
                                                                                                                                                  Confounding and Multivariate   based associations are used as     Section on Statistical
51   Milo Schield                 milo@pro-ns.net                                    2/14/2004                ii          IASE                    Thinking                       evidence for causal connections. Education




                                                                                                                                                                                                                            More: See
                                                                                                                                                                                                                            Q52




                                                                                                                                                                               Some New Methods for Obtaining
                                                                                                                                                                               Baseline National Data in
                                                                                                                                                                               Developing Countries and in
                                                                                                                                                                               Some Countries of Europe, Mainly
                                                                                                                                                  Survey Methods for Obtaining Concerning Agricultural,         Alvaro González
52   Alvaro González Villalobos   alvarun@fibertel.com.ar                            2/14/2005                ii          IASS                    Baseline National Data       Population and Housing Data      Villalobos




                                                                                                                                                                                                                   Last updated on: February 15, 2005
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                                                                                                   IAS
                                                                                ou
                                                                                                                                                                                                                                                                       Collaborating




                                                                                                                               Gu
     1.Name                       speakers and their
                                  3.E-mail address                                                                                             7.Name of the society




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                                                                                                                                                                                                                                                                       Societies




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                                  nationalities and affiliations:
3

                                                                                                                                                                                                                                                                          See G49

                                                                                                                                                                                                                                                                 More: See
                                                                                                                                                                                                                                                                 Q49




                                                                                                                                         The session should also reflect on the various computer programs that are available for simulation (from JavaApplets to
                                                                                                                                         tool software), identify most promising uses of simulation, and specify educational conditions under which simulation
                                                                                                                                         seems to have the most benefits.
                                  Joachim Engel (Hannover,                                                                               Also, specific new reserach approaches, namely qualitative studies beside quantitative ones, should be included and
                                  Germany), Carmen Batanero                                                                              discussed with regard to their scope and limitations.
                                  (Granda, Spain), Cliff Konold                                                                          The session should also reflect on the various computer programs that are available for simulation (from JavaApplets to
                                  (Univeristy of Massachusetts at                                                                        tool software), identify most promising uses of simulation, and specify educational conditions under which simulation
49   Rolf Biehler                 Amherst, USA)                                                                X                         seems to have the most benefits.                                                                                              IASC is a possibility

                                                                                                                                                                                                                                                                 More: See
                                                                                                                                                                                                                                                                         See G50
                                                                                                                                                                                                                                                                 Q50




                                                                                                                                         One of these projects is CAUSEweb, a digital library of undergraduate statistics education resources, which is being
                                  Neville Davies, Great Britain,                                                                         developed and operated by the Consortium for the Advancement of Undergraduate Statistics Education (CAUSE) through
                                  Chris Wild, New Zealand, Jane                                                                          funding from the US National Science Foundation. Presenters will describe issues related to providing teaching resources
                                  Watson, Australia, Jura Puranen,                                                                       via the Internet such as keeping resources current with rapidly changing technologies, facilitating learning with a web- I do not know of any
50   Ginger Holmes Rowell         Finland                              X                                       X                         based environment, and training teachers to use available technology.                                                    at this time.


                                                                                                                                                                                                                                                                             See G51

                                                                                                                                                                                                                                                               More: See
                                                                                                                                                                                                                                                               Q51

                                                                                                                                         Unless they take a course in multivariate regression, students may never realize that an association can increase,
                                  Howard Wainer (US), James                                                                              decrease or even reverse (Simpson‘s paradox) after taking into account the influence of a confounder – or that a
                                  Nicholson (Ireland) & Jim Ridgway                                                                      statistically significant association can become statistically insignificant. Should students be taught these topics in the
                                  (UK), George Cobb (US), John                                                                           introductory course? Can these topics be taught without including a whole course in multivariate regression? Can
                                  Brignell (UK), Steve Raudenbush                                                                        students be considered statistically literate if they are unaware of these matters? Is multivariate thinking a key
                                  (US), Dick Frazer (US), Peter                                                                          component of statistical literacy? The speakers will comment on these questions and on the importance of confounding
51   Milo Schield                 Holmes (UK).                                                                 X                         in statistical education.
                                                                                                                                                                                                                                                                         See G52



                                                                                                                                                                                                                                                                 More: See
                                                                                                                                                                                                                                                                 Q52




                                                                                                                                         References:
                                                                                                                                         Encuestas Agrícolas y Encuestas a Hogares: estrategias comunes (Sara Novaro), FAO Interamerican Meeting, Panama,
                                                                                                                                         2002
                                  Elisabetta Carfagna (ISI/IASS),                                                                        CPS Technical Paper 63-Appendix A (1997), "Maximizing PSU Overlap, http://www.bls.census.gov/cps
                                  Sara Novaro (IASS) and Mirane M,                                                                       Ernst, L.R. (1995), "Maximizing and Minimizing Overlap of Ultimate Sampling Units". Bureau of Labor Statistics, 2
52   Alvaro González Villalobos   Carrilho (IASS)                                                                       X                Massachusetts Ave, N.E, Room 3160, Washington DC 20212                                                            IAOS




                                                                                                                                                                                                                                                              Last updated on: February 15, 2005
                                                            D:\Docstoc\Working\pdf\2d198cf5-4602-48a9-96ba-0aa154a2cc4b.xls                                                                                                 Last printed on: 12/22/2010
                                                                                                                                                                                                                                           Page 25 / 26




                        A                               B                           C                    D                         E                        F                                   G                                 H

                                                                                                                                                                               9.Short description of the            10.Name(s) of the
                                                                           5.Date of             6.ISI/ISI Section                           8.Title of Proposed
     1.Name                 3.E-mail address                                                                         7.Name of the society                                     Invited Paper Meeting topic           proposed
                                                                           submission             representation                             Invited Paper Meeting
                                                                                                                                                                               incl references                       organiser(s)
3

                                                                                                                                                                                           More: See                 Statistical
                                                                                                                                                                                           Q53                       Confidenciality,
                                                                                                                                                                                                                     Research Purposes,
                                                                                                                                                                                                                     Anonymisation
                                                                                                                                                                                                                     Methodology
                                                                                                                                                                                                                     Harala, R, and
                                                                                                                                                                                                                     Reinikainen, A-L. (1994),
                                                                                                                                                                                                                     ‗Statistical confidentiality
                                                                                                                                                                               What procedures to keep the           and the use of
                                                                                                                                                                               safety of sensible records, either    statistical data for
                                                                                                                                                                               from business or personal             research purposes –
                                                                                                                                                                               registers. How far to go in the       Finnish aspects‘, Second
                                                                                                                                                                               anonymisation and what                International
                                                                                                                                             Statistical Confidentiality and   methodologies to use in the           Seminar on Statistical
                                                                                                                                             the Use of Statistical Data for   preparation of the information to     Confidentiality,
53   Pedro Corte Real       pedro.real@ine.pt                                   2/11/2005                                                    Research Purposes                 be used by researchers                Luxembourg 1994.




                                                                                                                                                                               The aim of the session is to share
                                                                                                                                                                               experiences amongst
                                                                                                                                                                               organizations concerning best
                                                                                                                                                                               practises in quality reporting in the
                                                                                                                                                                               statistical process.
                                                                                                                                                                               Key words: quality components;
                                                                                                                                                                               quality reports; quality indicators; Maria João Zilhão
     Maria João Zilhão      mjoao.zilhao@ine.pt                                                                                              Measuring Quality in              statistical process; quality          Margarida Madaleno,
54   Margarida Madaleno     margarida.madaleno@ine.pt                           2/10/2005                ii          IAOS                    Statistical Processes             assurance.                            both Portuguese
                                                                                                                                                                               The aim of the session/meeting is
                                                                                                                                                                               to share experiences amongst
                                                                                                                                                                               organizations concerning best
                                                                                                                                                                               practises in implementing
                                                                                                                                                                               systematic quality work:
                                                                                                                                                                               difficulties and resistances
                                                                                                                                                                               encountered; training; quality
                                                                                                                                                                               teams; general involvement of the
                                                                                                                                                                               employees; methods to overcome
                                                                                                                                                                               resistance; models used to
                                                                                                                                                                               implement systematic quality work
                                                                                                                                                                               (eg, ISO Norms; EFQM model;
                                                                                                                                                                               CAF, etc...).
     Maria João Zilhão                                                                                                                       Quality Management in             Key words: Systematic Quality         Maria João Zilhão
55   Margarida Madaleno     mjoao.zilhao@ine.pt                                 2/10/2005                ii          IAOS                    Official Statistics               Work; TQM                             Margarida Madaleno
                                                                                                                                                                               Customer Relationship
                                                                                                                                                                               Management (CRM)

                                                                                                                                                                               The aim of the session is to share
                                                                                                                                                                               experiences amongst
                                                                                                                                                                               Organizations concerning best
                                                                                                                                                                               practises in Customer
                                                                                                                                                                               Relationship Management of
                                                                                                                                                                               statistical organizations, and
                                                                                                                                                                               instruments used to access
                                                                                                                                                                               customer satisfaction of the
                                                                                                                                                                               statistical products.

                                                                                                                                                                               Key words: Customer satisfaction
     Maria João Zilhão                                                                                                                       Customer Relationship             surveys; Call centres; Customer  Maria João Zilhão
56   Margarida Madaleno     mjoao.zilhao@ine.pt                                 2/10/2005                ii          IAOS                    Management (CRM)                  satisfaction                     Margarida Madaleno

                                                                                                                                                                               International Cooperation in
                                                                                                                                                                               Statistics

                                                                                                                                                                               The aim of the session is to share
                                                                                                                                                                               experiences concerning
                                                                                                                                                                               international cooperation
                                                                                                                                                                               activities, including provision of
                                                                                                                                                                               technical assistance to strengthen
                                                                                                                                                                               statistical capacity of other
                                                                                                                                                                               countries and organizations.
                                                                                                                                                                                                                     Margarida Madaleno and
     Margarida Madaleno                                                                                                                      International Cooperation in      Key words: international              Conceição Veiga, both
57   Conceição Veiga        margarida.madaleno@ine.pt                           2/11/2005                ii          IAOS                    Statistics                        cooperation; technical assistance     Portuguese




                                                                                                                                                                                                                    Last updated on: February 15, 2005
                                                                                 D:\Docstoc\Working\pdf\2d198cf5-4602-48a9-96ba-0aa154a2cc4b.xls                                                                                                 Last printed on: 12/22/2010
                                                                                                                                                                                                                                                                Page 26 / 26




                        A                   I                  J        K           L        M         N        O          P                                                                   Q                                                          R
                                                                                                                                                                                            More                                                13 Possible




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                                                                                                                       So t
                                                              I SI




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                            11.Names of possible




                                                                                                                         es
                                                                                                                          c.
                                                                                  IAO




                                                                                                     IAS



                                                                                                               IAS
                                                                                           IAS
                                                                        ou
                                                                                                                                                                                                                                                Collaborating




                                                                                                                       Gu
     1.Name                 3.E-mail address
                            speakers and their                                                                                         7.Name of the society




                                                                        rn
                                                                                                                                                                                                                                                Societies




                                                                     Be
                            nationalities and affiliations:
3

                                                                                                                                                                                                                          More: See
                                                                                                                                                                                                                               See H53
                                                                                                                                                                                                                          Q53




                                                                                                                                 Harala, R, and Reinikainen, A-L. (1996), ‗Confidentiality in the use of administrative
                                                                                                                                 data sources‘, Statistical Journal of the United Nations Economic Commission
                                                                                                                                 for Europe, 4/1996.
                            Riitta Harala                                                                                        Statistics Finland (2004), Use of Registers and Administrative Data Sources for
                                                                                                                                 Statistical Purposes, Best Practices of Statistics Finland, Handbooks 45, Helsinki
53   Pedro Corte Real       Anna-Leena Reinikainen                                                                               2004




     Maria João Zilhão
54   Margarida Madaleno                                                            X




     Maria João Zilhão
55   Margarida Madaleno                                                            X




     Maria João Zilhão
56   Margarida Madaleno                                                            X




     Margarida Madaleno
57   Conceição Veiga                                                               X




                                                                                                                                                                                                                                         Last updated on: February 15, 2005

				
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