How to Be a Better Bayesian

DOI10.2307/2291668zbMath0869.62006OpenAlexW4248554186MaRDI QIDQ3129054

Francisco J. Samaniego, Andrew A. Neath

Publication date: 26 August 1997

Full work available at URL: https://doi.org/10.2307/2291668

zbMATH Keywords

exponential familiesempirical Bayessquared error lossBayes riskconjugate priorshierarchical modelsmeta-analysislinear Bayes rulesBayes empirical Bayes estimatormean-correct priors

Mathematics Subject Classification ID

Foundations and philosophical topics in statistics (62A01) Empirical decision procedures; empirical Bayes procedures (62C12)

Related Items (4)

A note on the comparison of the Bayesian and frequentist approaches to estimation ⋮ Relaxation penalties and priors for plausible modeling of nonidentified bias sources ⋮ A linear empirical Bayes solution for the calibration problem. ⋮ On improving standard estimators via linear empirical Bayes methods

This page was built for publication: How to Be a Better Bayesian