Statistical decision theory and Bayesian analysis
著者
書誌事項
Statistical decision theory and Bayesian analysis
（Springer series in statistics）
Springer, c2010
2nd ed
- : pbk. : alk. paper
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注記
"With 23 illustrations"
Includes bibliographical references (p. [571]-598) and indexes
内容説明・目次
内容説明
In this new edition the author has added substantial material on Bayesian analysis, including lengthy new sections on such important topics as empirical and hierarchical Bayes analysis, Bayesian calculation, Bayesian communication, and group decision making. With these changes, the book can be used as a self-contained introduction to Bayesian analysis. In addition, much of the decision-theoretic portion of the text was updated, including new sections covering such modern topics as minimax multivariate (Stein) estimation.
目次
- 1. Basic concepts
- 2. Utility and loss
- 3. Prior information and subjective probability
- 4. Bayesian analysis
- 5. Minimax analysis
- 6. Invariance
- 7. Preposterior and sequential analysis
- 8. Complete and essentially complete classes
- Appendices.
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