A theoretical note on the prior information criterion

DOI10.1016/J.JMP.2017.06.002zbMath1402.62328OpenAlexW2747158749MaRDI QIDQ1680995

Wolf Vanpaemel, Woojae Kim, Francis Tuerlinckx, Sara Steegen, Wiebe R. Pestman

Publication date: 17 November 2017

Published in: Journal of Mathematical Psychology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmp.2017.06.002

zbMATH Keywords

Bayes factorBayesian model selectionbinomial modelprior information criterion

Mathematics Subject Classification ID

Bayesian inference (62F15) Applications of statistics to psychology (62P15)

Cites Work

• Unnamed Item
• Unnamed Item
• A prior predictive loss function for the evaluation of inequality constrained hypotheses
• Prior sensitivity in theory testing: an apologia for the Bayes factor
• Model selection and Akaike's information criterion (AIC): The general theory and its analytical extensions
• Prior adjusted default Bayes factors for testing (in)equality constrained hypotheses
• Convergence rates of posterior distributions.
• Theory of statistics
• Misspecification in infinite-dimensional Bayesian statistics
• Model Selection and Model Averaging
• Bayes Factors
• On Bayes procedures

This page was built for publication: A theoretical note on the prior information criterion