avviso di seminario

["Livia De Giovanni" <lidegio@tin.it>]

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                		 AVVISO DI SEMINARIO
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			Lunedi' 23 maggio alle ore 10.30
presso il Dipartimento di Scienze Economiche, Gestionali e Sociali
dell'Universitą del Molise
			via F. de Sanctis, Campobasso


il Professor
			    ALAN AGRESTI
                   	           Department of Statistics
               		 University of Florida
 			 Gainesville, Florida

terrą il seminario



                Bayesian Inference for Categorical Data Analysis: A Survey



This seminar surveys Bayesian methods for categorical data analysis,
with primary emphasis on contingency table analysis.  Early
innovations were proposed by I.J. Good for smoothing proportions in
contingency tables and by Dennis Lindley for inference about odds
ratios.  These approaches primarily used conjugate beta and Dirichlet
priors.  Pat Altham presented Bayesian analogs of small-sample
frequentist tests for 2x2 tables using such priors.  An alternative
approach using normal priors for logits received considerable
attention in the 1970s by Tom Leonard and others.  Adopted usually in
a hierarchical form, the logit-normal approach allows greater
flexibility and scope for generalization.  The 1970s also saw
considerable interest in Stein-influenced Bayesian shrinkage methods
and in loglinear modeling.  The advent of modern computational methods
since the mid-1980s has led to a growing literature on fully Bayesian
analyses with models for categorical data, with main emphasis on
generalized linear models such as logistic regression for binary and
multi-category response variables and hierarchical generalizations.



Tutti gli interessati sono invitati a partecipare.


Livia De Giovanni
Dipartimento SEGeS
Universita' del Molise
degiovanni@unimol.it



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