Lower bounds on bayes factors for a linear regression model

DOI10.1080/03610929408831357zbMath0825.62175OpenAlexW1988119291MaRDI QIDQ4843839

Shigeru Iwata

Publication date: 17 August 1995

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610929408831357

zbMATH Keywords

hypothesis testingBayes factorF-testposterior odds

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items

Bounding posterior means by model criticism ⋮ Applied regression analysis bibliography update 1994-97

Cites Work

• Statistical decision theory and Bayesian analysis. 2nd ed
• Highest predictive density estimator in regression models
• Testing precise hypotheses. With comments and a rejoinder by the authors
• Model Selection when There is "Minimal" Prior Information
• Testing a Point Null Hypothesis: The Irreconcilability of P Values and Evidence
• Lower Bounds on Bayes Factors for Interval Null Hypotheses
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