Joint specification of model space and parameter space prior distributions

DOI10.1214/11-STS369zbMath1330.62117arXiv1207.5651OpenAlexW3105657707WikidataQ58296069 ScholiaQ58296069MaRDI QIDQ5962691

Jonathan J. Forster, Petros Dellaportas, Ioannis Ntzoufras

Publication date: 16 February 2016

Published in: Statistical Science (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1207.5651

zbMATH Keywords

regression modelsBayesian inferencegeneralized linear modelsBICLindley's paradoxmodel averaging

Mathematics Subject Classification ID

Bayesian inference (62F15) Generalized linear models (logistic models) (62J12)

Related Items

Prior distributions for objective Bayesian analysis, An Objective Bayesian Criterion to Determine Model Prior Probabilities, Bayesian transformation family selection: Moving toward a transformed Gaussian universe, Calibrated Bayes factors under flexible priors, Power-expected-posterior priors as mixtures of \(g\)-priors in normal linear models, On the mathematics of the Jeffreys–Lindley paradox, On the correspondence from Bayesian log-linear modelling to logistic regression modelling with \(g\)-priors, Variations of power-expected-posterior priors in normal regression models, Inconsistency identification in network meta-analysis via stochastic search variable selection, Subjective Bayesian testing using calibrated prior probabilities, A Default Bayesian Hypothesis Test for ANOVA Designs

Uses Software

• SSS
• BAS

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