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Contents Copyright.Last revised: 17/02/2019
Ioannis Ntzoufras
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Ioannis Ntzoufras |
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Claudia Tarantola |
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Department of Statistics, Athens University of Economics and Business, Athens, GREECE; e-mail: ntzoufras@aueb.gr. |
Department of Economics and Quantitative Methods, Faculty of Economics, University of Pavia, Pavia, ITALY, e-mail: claudia.tarantola@unipv.it |
SYNOPSIS
This paper deals with the Bayesian analysis of graphical models of marginal independence for three way contingency tables. We use a marginal log-linear parameterization, under which the model is defined through suitable zero-constraints on the interaction parameters calculated within marginal distributions. We undertake a comprehensive Bayesian analysis of these models, involving suitable choices of prior distributions, estimation, model determination, as well as the allied computational issues. The methodology is illustrated with reference to two real data sets.
Keywords: graphical models, marginal log-linear parametrization, Monte Carlo computation, order decomposability, power prior approach.Download:
First version of the paper [First version: 17 June 2008]
Electronic Appendix (Results of the 2nd example).
Presentation by Claudia Tarantola from the First Athens-Pavia Meeting on Statistics (6/6/2008)
Second version of the paper [25 October 2010]
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