[Statlist] Seminar ueber Statistik

[Christina Kuenzli]

                       ETH and University of Zurich 
      Proff. A.D. Barbour -- P. Buehlmann -- F. Hampel -- H.R. Kuensch 

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           We are pleased to announce the following seminars

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Friday, April 16, 2004, 15.15, LEO C15

     Jean-François Cardoso, ENST, Dept. TSI, Paris

     The three easy routes to independent component analysis. 
     An information geometric point of view

Independent component analysis (ICA) is a class of techniques for the
linear decomposition of data into components which are `as independent
as possible'.  The art of ICA is to express statistical independence
beyond mere decorrelation in an efficient manner.  Most ICA algorithms
exploit non Gaussianity but other approaches are possible when looking
for independent components in time series or in spatial processes.
Simple ideas exploit non-stationarity or spectral diversity of the
components.  These are the 3 easy routes to ICA.  In this talk, I will
show how all these approaches give a common underlying structure to
mutual information and how this is related to sparse representations.
This theory is developed in the framework of information
geometry.
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Tuesday, April 20, 2004, 15.15, ML E 13

     James Ramsay, McGill University, Canada 
     From Data to Differential Equations
     
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Friday, April 23, 2004, 15.15, LEO C 15
   
     Roy E. Welsch, Massachusetts Institute of Technology, Cambridge MA
     Algorithms for Robust Model Selection in Linear Regression 

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(LEO (Leonhardstrasse 27, 8006 Zurich) is close to the main building,
across the hill-side station of the 'Polybahn') 
Overview maps of ETH : http://www.ethz.ch/search/orientation_en.asp

Further information: Christina Kuenzli, Statistics Seminar of ETH Zurich 
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Everybody is kindly invited
 
Eidgenoessische Technische Hochschule Zuerich
Swiss Federal Insitute of Technology Zurich
________________________________________________________
Christina Kuenzli            <kuenzli at stat.math.ethz.ch>
Seminar fuer Statistik      
Leonhardstr. 27,  LEO D11          phone: +41 1 632 3438         
ETH-Zentrum,                       fax  : +41 1 632 1228 
CH-8092 Zurich, Switzerland        http://stat.ethz.ch/~