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, c2001
2nd ed
- タイトル別名
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Analyse statistique bayésienne
- 統一タイトル
-
Analyse statistique bayésienne
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注記
Includes bibliographical references (p. [531]-579) 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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