Abstract

Bayesian statistical practice makes extensive use of versions of objective Bayesian\nanalysis. We discuss why this is so, and address some of the criticisms that have been\nraised concerning objective Bayesian analysis. The dangers of treating the issue too\ncasually are also considered. In particular, we suggest that the statistical community\nshould accept formal objective Bayesian techniques with confidence, but should be more\ncautious about casual objective Bayesian techniques.

Keywords

Bayesian probabilityBayesian statisticsComputer scienceBayesian averageCasualEconometricsArtificial intelligenceMachine learningBayesian inferenceStatisticsMathematicsPolitical science

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Publication Info

Year
2006
Type
article
Volume
1
Issue
3
Citations
733
Access
Closed

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Cite This

James O. Berger (2006). The case for objective Bayesian analysis. Bayesian Analysis , 1 (3) . https://doi.org/10.1214/06-ba115

Identifiers

DOI
10.1214/06-ba115