The Bayesian choice : from decision-theoretic foundations to computational implementation
著者
書誌事項
The Bayesian choice : from decision-theoretic foundations to computational implementation
（Springer texts in statistics）
Springer, c2007
2nd ed
- : pbk
- : hbk
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注記
Includes bibliographical references and indexes
内容説明・目次
内容説明
This is an introduction to Bayesian statistics and decision theory, including advanced topics such as Monte Carlo methods. This new edition contains several revised chapters and a new chapter on model choice.
目次
Decision-Theoretic Foundations.- From Prior Information to Prior Distributions.- Bayesian Point Estimation.- Tests and Confidence Regions.- Bayesian Calculations.- Model Choice.- Admissibility and Complete Classes.- Invariance, Haar Measures, and Equivariant Estimators.- Hierarchical and Empirical Bayes Extensions.- A Defense of the Bayesian Choice.
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