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Statistical Decision Theory and Bayesian Analysis

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概要 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 calcu...lation, 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.続きを見る
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
Appendix 1 Common Statistical Densities
I Continuous
II Discrete
Appendix 2 Supplement to Chapter 4
II Development of (4.121) and (4.122)
III Verification of Formula (4.123)
Appendix 3 Technical Arguments from Chapter 7
I Verification of Formula (7.8)
II Verification of Formula (7.10)
Notation and Abbreviations
Author Index.
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登録日 2020.06.27
更新日 2020.06.28