[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 seminar
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April 4, 2003,  15.15 
Leonhardstrasse 27, 8006 Zürich, LEO C15
 
Approximate location and exponential family models  

Nancy Reid, University of Toronto

Models with sufficiently regular likelihood functions can be approximated at
a fixed data point by a local location model and by a local exponential
family model.  The approximation is typically in powers of $n^{-1/2}$ where
$n$ is the sample size or an index of the total information.  To
$O(n^{-3/2})$ the models can be used for deriving  higher order likelihood
based approximations.  The approximations will be described, and their use
in computing approximate tail probabilities and approximate matching priors
will be illustrated.

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(LEO 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
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Eidgenoessische Technische Hochschule Zuerich
Swiss Federal Insitute of Technology Zurich
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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/~