Statistical Decision Theory and Bayesian Analysis

James O. Berger

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English

Springer-Verlag New York Inc.
04 December 2010

Mathematics & Sciences; Probability & statistics

Series: Springer Series in Statistics

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.

By: James O. Berger
Imprint: Springer-Verlag New York Inc.
Country of Publication: United States
Edition: 2nd ed. Softcover of orig. ed. 1985
Dimensions: Height: 235mm, Width: 155mm, Spine: 32mm
Weight: 1.940kg
ISBN: 9781441930743
ISBN 10: 1441930744
Series: Springer Series in Statistics
Pages: 636
Publication Date: 04 December 2010
Audience: Professional and scholarly , Professional and scholarly , Undergraduate , Further / Higher Education
Format: Paperback
Publisher's Status: Active

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.

Reviews for Statistical Decision Theory and Bayesian Analysis

"""The outstanding strengths of the book are its topic coverage, references, exposition, examples and problem sets... This book is an excellent addition to any mathematical statistician's library."" (Bulletin of the Am. Mathematical Soc.)"