Ioannis Ntzoufras

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Stochastic Search Variable Selection for Log-linear Models

I. Ntzoufras, J.J. Forster and P. Dellaportas (2000)

Journal of Statistical Computation and Simulation, 68, 23-38.

Abstract

        We develop a Markov chain Monte Carlo algorithm, based on `stochastic search variable selection' (George and McCulloch, 1993), for identifying promising log-linear models. The method may be used in the analysis of multi-way contingency tables where the set of plausible models is very large.

Keywords: Bayesian Analysis; Contingency Table; Gibbs Sampling; Markov Chain Monte Carlo 

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