Ntzoufras, Ioannis, Forster, Jonathan J. and Dellaportas, Petros
Stochastic search variable selection for log-linear models
Journal of Statistical Computation and Simulation, 68, (1), . (doi:10.1080/00949650008812054).
Full text not available from this repository.
We develop a Markov chain Monte Carlo algorithm, based on 'stochastic search variable selection' (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.
Actions (login required)