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Contents: Introduction.- Decision-Theoretic Foundations of Statistical Inference.- From Prior Information to Prior Distributions.- Bayesian Point Estimation.- Tests and Confidence Regions.- Admissibility and Complete Classes.- Invariance, Haar Measures, and Equivariant Estimators.- Hierarchical and Empirical Bayes Extensions.- Bayesian Calculations.- A Defense of the Bayesian Choice.
Ghosh et al. (Fri,) studied this question.
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