Bayesian Anal.1(3):385-402(September 2006).DOI: 10.1214/06-BA115
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Abstract
Bayesian statistical practice makes extensive use of versions of objective Bayesian analysis. We discuss why this is so, and address some of the criticisms that have been raised concerning objective Bayesian analysis. The dangers of treating the issue too casually are also considered. In particular, we suggest that the statistical community should accept formal objective Bayesian techniques with confidence, but should be more cautious about casual objective Bayesian techniques.
Citation
James Berger."The case for objective Bayesian analysis."Bayesian Anal.1(3)385 - 402,September 2006.https://doi.org/10.1214/06-BA115
Information
Published: September 2006
First available in Project Euclid: 22 June 2012
zbMATH:1331.62043
MathSciNet:MR2221271
Digital Object Identifier: 10.1214/06-BA115
Keywords: coherency, data dependent priors, elicitation, frequentist validation, History of objective Bayes, Information, Invariance, Jeffreys priors, marginalization paradox, matching priors, reference priors, Subjective Bayes, unification of statistics, vague proper priors
Rights: Copyright © 2006 International Society for Bayesian Analysis
James Berger "The case for objective Bayesian analysis," Bayesian Analysis, Bayesian Anal. 1(3), 385-402, (September 2006)Include: Format:
