Model selection in random effects models for directed graphs using approximated Bayes factors

DOI10.1111/j.1467-9574.2005.00283.xzbMath1069.62031OpenAlexW2124235779MaRDI QIDQ5313478

Marijtje A. J. van Duijn, Bonne J. H. Zijlstra, Tom A. B. Snijders

Publication date: 1 September 2005

Published in: Statistica Neerlandica (Search for Journal in Brave)

Full work available at URL: https://pure.rug.nl/ws/files/9822095/DuijnMAJvan-Model-2005.pdf

zbMATH Keywords

Markov chain Monte Carlorandom effectssocial network analysis

Mathematics Subject Classification ID

Applications of statistics to social sciences (62P25) Bayesian inference (62F15)

Related Items

Maximum likelihood estimation based on the Laplace approximation for p₂ network regression models

Cites Work

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• Objections to Bayesian statistics
• Approximate Bayes factors and accounting for model uncertainty in generalised linear models
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• p₂: a random effects model with covariates for directed graphs