Statistical decision theory and Bayesian analysis

Bibliographic Information

Statistical decision theory and Bayesian analysis

James O. Berger

(Springer series in statistics)

Springer, c2010

2nd ed

  • : pbk. : alk. paper

Available at  / 5 libraries

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Note

"With 23 illustrations"

Includes bibliographical references (p. [571]-598) and indexes

Description and Table of Contents

Description

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.

Table of Contents

  • 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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Details

  • NCID
    BB04898569
  • ISBN
    • 9781441930743
  • Country Code
    us
  • Title Language Code
    eng
  • Text Language Code
    eng
  • Place of Publication
    New York
  • Pages/Volumes
    xvi, 617 p.
  • Size
    24 cm
  • Subject Headings
  • Parent Bibliography ID
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