Stochastic search variable selection for log-linear models

摘要

We develop a Markov chain Monte Carlo algorithm, based on #x2018;stochastic search variable selection#x2019; (George and McCuUoch, 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.