Stochastic search variable selection for log-linear models

DOI10.1080/00949650008812054zbMath0968.62051OpenAlexW1997924543WikidataQ58296121 ScholiaQ58296121MaRDI QIDQ4525905

Ioannis Ntzoufras, Jonathan J. Forster, Petros Dellaportas

Publication date: 17 September 2001

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949650008812054

zbMATH Keywords

Markov chain Monte CarloGibbs samplingcontingency tables

Mathematics Subject Classification ID

Numerical analysis or methods applied to Markov chains (65C40) Contingency tables (62H17)

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Cites Work

• Incorporating Prior Information into the Analysis of Contingency Tables
• A fast procedure for model search in multidimensional contingency tables
• Bayesian Variable Selection in Linear Regression
• Approximate Bayes factors and accounting for model uncertainty in generalised linear models
• Model Selection and Accounting for Model Uncertainty in Graphical Models Using Occam's Window
• Adaptive Rejection Sampling for Gibbs Sampling
• Markov chain Monte Carlo model determination for hierarchical and graphical log-linear models