[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 talk
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Friday, January 28, 2005, 15.15, LEO C15

        Pitfalls in parameter estimation through numerical optimization

        Douglas Bates, Department of Statistics, 
                       University of Wisconsin, Madison  

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Friday, February 4, 2005, 15.15, LEO C15

        Binary Models for Marginal Independence

        Mathias Drton, University of California, Berkeley
        
Log-linear models are a classical tool for the analysis of contingency
tables.  In particular, the subclass of graphical log-linear models
provides a general framework for modelling conditional independences.
However, with the exception of special structures, marginal
independence hypotheses cannot be accommodated by these traditional
models.  Focusing on binary variables, this talk presents ongoing work
on a new model class that provides a framework for modelling marginal
independences in contingency tables.  The approach taken is graphical
and based on bi-directed graphs, which are in the tradition of path
diagrams.  In many respects, the resulting models are dual to
graphical log-linear models.

(Joint work with Thomas Richardson, University of Washington)
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________________________________________________________
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/~