On the prevalence of information inconsistency in normal linear models

DOI10.1007/s11749-020-00704-4zbMath1474.62041OpenAlexW3007817845MaRDI QIDQ2666033

M. J. Bayarri, James O. Berger, Joris Mulder, Víctor Peña

Publication date: 22 November 2021

Published in: Test (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11749-020-00704-4

zbMATH Keywords

Bayes factorsregression modelsconjugate priorsinformation inconsistency

Mathematics Subject Classification ID

Parametric hypothesis testing (62F03) Bayesian inference (62F15) Foundations and philosophical topics in statistics (62A01)

Uses Software

• BayesDA

Cites Work

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• The Weighted Likelihood Ratio, Linear Hypotheses on Normal Location Parameters
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• A conditional Lindley paradox in Bayesian linear models

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