3rd International Symposium on
Imprecise Probabilities and Their Applications

ISIPTA '03

University of Lugano
Lugano, Switzerland
14-17 July 2003

ELECTRONIC PROCEEDINGS

Jean-Marc Bernard

Analysis of Local or Asymmetric Dependencies in Contingency Tables using the Imprecise Dirichlet Model

Abstract

We consider the statistical problem of analyzing the association between two categorical variables from cross-classified data. The focus is put on measures which enable one to study the possible dependencies at a local level and to assess whether the data support some more or less strong association model. Statistical inference is envisaged using an imprecise Dirichlet model; this model answers several difficulties of frequentist and Bayesian methods.

Keywords. Contingency Tables, Association, Logical model, Directional association model, Statistical inference, Upper and lower probabilities, IDM, Prior ignorance, Bayesian inference.

Paper Download

The paper is availabe in the following formats:

Authors addresses:

Laboratoire de Psychologie Environnementale
Universite Paris 5
71 avenue Edouard Vaillant
92774 - Boulogne-Billancourt Cedex

E-mail addresses:

Jean-Marc Bernard jmbernard@psycho.univ-paris5.fr


[ back to the Proceedings of ISIPTA '03 home page 
Send any remarks to the following address: smc@decsai.ugr.es