Bayesian model selection using encompassing priors

DOI10.1111/j.1467-9574.2005.00279.xzbMath1069.62026OpenAlexW2143933215MaRDI QIDQ5313474

Irene Klugkist, Herbert Hoijtink, Bernet Sekasanvu Kato

Publication date: 1 September 2005

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

Full work available at URL: https://dspace.library.uu.nl/handle/1874/30376

zbMATH Keywords

Bayes factorsinequality constraintsposterior probabilityobjective Bayesian inference

Mathematics Subject Classification ID

Parametric inference under constraints (62F30) Bayesian inference (62F15) Contingency tables (62H17)

Related Items (13)

Bayesian hypothesis testing for Gaussian graphical models: conditional independence and order constraints ⋮ Bayes factors, relations to minimum description length, and overlapping model classes ⋮ Bayesian evaluation of informative hypotheses for multiple populations ⋮ Bayesian inference through encompassing priors and importance sampling for a class of marginal models for categorical data ⋮ Is there variation across individuals in processing? Bayesian analysis for systems factorial technology ⋮ A nonparametric multidimensional latent class IRT model in a Bayesian framework ⋮ Testing higher and infinite degrees of stochastic dominance for small samples: a Bayesian approach ⋮ Using MCMC chain outputs to efficiently estimate Bayes factors ⋮ Bayesian comparison of models with inequality and equality constraints ⋮ An encompassing prior generalization of the Savage-Dickey density ratio ⋮ Distribution-free tests of stochastic dominance for small samples ⋮ The Bayes factor for inequality and about equality constrained models ⋮ Multinomial models with linear inequality constraints: overview and improvements of computational methods for Bayesian inference

Cites Work

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• The analysis of contingency tables under inequality constraints
• The Effect of Drop-Out on the Efficiency of Longitudinal Experiments
• Linear mixed models for longitudinal data

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