[BioC] Conference announcement: Compstat 2004

[w.huber at dkfz-heidelberg.de]

I hope this is interesting enough to some of you to justify the
slightly off-topic posting of this message.

     Best regards
        Wolfgang

---------- Forwarded message ----------
From: Jaromir Antoch <antoch at karlin.mff.cuni.cz>

COMPSTAT 2004, 16th Symposium of IASC, Prague August 23-27, 2004

                   http://compstat2004.cuni.cz

Statistical computing provides the link between statistical theory and
applied statistics. As at previous COMPSTATs, the scientific programme
will cover all aspects of this link, from the development and
implementation of new statistical ideas through to user experiences
and software evaluation. The programme should appeal to anyone working
in statistics and using computers, whether in universities, industrial
companies, government agencies, research institutes or as software
developers.

Following extensive discussions over the last year, ERS IASC have
introduced a number of changes to the format of the Scientific
Programme for COMPSTAT 2004 in Prague. The motivation for these
changes was to try to revitalise the programme by giving more focus to
the individual sessions, involve more people in the planning of
sessions, and make links with other societies like Interface and IFCS
involved in statistical computing.

The scientific programme for COMPSTAT 2004 will be made up as follows.


KEYNOTE LECTURES

- BRIDGING THE GAP BETWEEN STATISTICS, COMPUTATIONAL MATHEMATICS AND
   ENGINEERING:  Sabine Van Huffel,  Katholieke Universiteit Leuven (B)

- FUNCTION FITTING WITH MANY VARIABLES; NEURAL NETWORKS AND BEYOND:
   Andrew Barron, Yale University (USA).

- DIMENSION FREE DATA VISUALIZATION AND INFORMATION MINING:  Chun-houh
   Chen,  Academia Sinica Taipei (TW).

- THIRTY YEARS OF COMPSTAT AND KEY STEPS OF STATISTICAL COMPUTING:
   Wilfried Grossmann,  Universitat Wien (A),   Michael Schimek ,
   Universitat Graz (A),   and   Peter Sint, Austrian Academy of
   Sciences, Wien (A).


INVITED ORGANISED SESSIONS, THEIR ORGANISERS AND INVITED SPEAKERS

- ADVANCES IN MULTIPLE TIME SERIES MODELLING: PRESENT IMPACT AND
   FUTURE POTENTIAL: G. Tunnicliffe-Wilson (Lancaster, GB).
   Invited speakers:
   J. Hanousek (CZ); R. Tsay (USA); G. Tunnicliffe-Wilson (GB).

- APPLICATIONS OF COMPUTATIONAL STATISTICS METHODS: E. Wegman (USA).
   This is a Session I. of Interface Society.
   Invited speakers:
   A. Braverman (USA); K. Kafadar (USA); A.R. Martinez (USA).

- COMPUTATIONAL ASPECTS IN RISK CALCULATION AND RISK ASSESSMENT:
   L. Edler (Heidelberg, D).
   Invited speakers:
   L. Held (D); H. Heinzl joitly with M. Mittlboeck (A); J. Groos
   jointly with A. Kopp-Schneider (D).

- COMPUTATIONAL ASPECTS OF OPTIMUM MODEL BASED DESIGN OF EXPERIMENTS:
   H. Nyquist (Stockholm, S).
   Invited speakers:
   H. Nyquist (S); Weng Kee Wong (USA).

- COMPUTATIONAL ASPECTS OF ROBUST STATISTICAL METHODS: C. Croux (Leuven, B).
   Invited speakers:
   A.C. Atkinson (UK) jointly with M. Riani (I); F.Critchley (UK);
   U. Gather (D).

- COMPUTATIONAL SEARCH IN CLASSIFICATION AND CLUSTERING: D. Banks (USA)
   and IFCS. This is a Session of the Internatinal Federation of
   Classification Societies.
   Invited speakers:
   D. Banks (USA); P. Hansen (CAN); H. Kiers (NL).

- DATA VISUALISATION: D. Cook, Iowa State University (USA).
   Invited speakers:
   H. Hofmann (USA); Deborah Swayne (USA); M. Theus (D).

- E-STATISTICS:   J. Nakano (JP) and ARS IASC. This is a Session of
   the Asian Regional Section of  IASC.
   Invited speakers:
   W.K. Fung (Hong Kong China); M.Y. Huh, (KOREA); R. Shibata (JP).

- FUNCTIONAL DATA: MODELLING AND APPLICATIONS: F. Ferraty and STAPH
   (Working Group on Functional Analysis) with LPS, GRIMM and INRA in
   Toulouse (F).
   Invited speakers:
   A. Cuevas (E); A. Kneip (D); J. Ramsay (CAN).

- HIGH DIMENSIONAL DATA ANALYSIS: E. Wegman (USA). This is a Session
   II. of Interface Society.
   Invited speakers:
   G. Ostrouchovn (USA); C.E. Priebe (USA); D.W. Scott (USA).

- MACHINE LEARNING AND NEURAL NETWORKS: V. Kurkova, Academy of
   Sciences of the Czech Republic, Institute of Computer Science (CZ).
   Invited speakers:
   Amari (USA); V. Kurkova (CZ); T. Poggio (USA).

- MODERN TRENDS OF TEACHING STATISTICS FOR THE INFORMATION SOCIETY:
   M. Mueller, Fraunhofer Institute for Industrial Mathematics,
   Kaiserslautern (D).
   Invited speakers:
   K. Cramer jointly with U. Kamps (D); E. Neuwirth (A); G. Saporta (F).

- NEW APPROACHES TO MODEL BASED CLUSTER METHODS: D. Pena, Universidad
   Carlos III de Madrid (E).
   Invited speakers:
   T. Hastie (USA); D. Pena (E); A. Raftery (USA).

- PLS TOOLS FOR REGRESSION AND STRUCTURAL MODELLING: V. Esposito
   Vinzi, Universita degli Studi di Napoli Federico II (I).
   Invited speakers:
   Harald Martens (DK); Svante Wold (S); Michel Tenenhaus (F).

- Statistical Biocomputing, Michael Schimek, Universitat Graz (A);


TUTORIALS

- NUMERICAL METHODS FOR STATISTICIANS: Gene G. Golub,  Stanford
   University (USA);

- R: THE NEXT GENERATION: Kurt Hornik, Vienna University of Technology (A).


CONTRIBUTED TALKS

Participants are encouraged to present contributed talks, or to submit
posters on following topics:


     Algorithms                      Multivariate Analysis
     Applications                    Neural Networks
     Bayesian Methods                Nonparametrical Statistics
     Biostatistics                   Numerical
     Classification                  Methods for Statistics
     Clustering                      Official statistics
     Data Imputation                 Optimization
     Data Visualisation              Partial Least Squares
     Design of Experiments           Resampling Methods
     Dimensional Reduction           Robustness
     E-statistics                    Simulations
     Functional                      Smoothing
     Data Analysis                   Spatial Statistics
     Graphics                        Statistical Data Mining
     Image Analysis                  Statistical Software
     Internet Based Methods          Teaching Statistics
     Machine learning                Time Series Analysis
     Metadata                        Tree Based Methods
     MCMC                            WEB
     Model Selection                 Mining


SATELITE MEETINGS AND RELATED CONFERENCES


- Workshop of the Working Group Matrix Computations and Statistics of
   ERCIM on numerical methods in Statistics. Prague, August 27-29, 2004.

- Chemometric conference CHEMSTAT 2004. Pardubice, August 30 -
   September 2, 2004.

- CDAM. VII International Conference Computer Data Analysis and
   Modeling: Robustness and Computer Intensive Methods. Minsk, Belarus,
   September 6-10, 2004.


MORE INFO

For more informations see `http://compstat2004.cuni.cz' or write to
`compstat2004 at cuni.cz'