Subjective and Objective Bayesian Statistics ：Principles, Models, and Applications ( Wiley Series in Probability and Statistics )

Publication subTitle ：Principles, Models, and Applications

Publication series ：Wiley Series in Probability and Statistics

Author： S. James Press  

Publisher： John Wiley & Sons Inc‎

Publication year： 2009

E-ISBN: 9780470317945

P-ISBN(Hardback):  9780471348436

Subject： O212.8 Bayesian statistics

Language： ENG

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Description

  • Shorter, more concise chapters provide flexible coverage of the subject.
  • Expanded coverage includes: uncertainty and randomness, prior distributions, predictivism, estimation, analysis of variance, and classification and imaging.
  • Includes topics not covered in other books, such as the de Finetti Transform.
  • Author S. James Press is the modern guru of Bayesian statistics.

Chapter

Preface

pp.：  23 – 27

Preface to the First Edition

pp.：  27 – 30

A Bayesian Hall of Fame

pp.：  30 – 34

PART I. FOUNDATIONS AND PRINCIPLES

pp.：  34 – 149

PART II. NUMERICAL IMPLEMENTATION OF THE BAYESIAN PARADIGM

pp.：  149 – 221

PART III.BAYESIAN STATISTICAL INFERENCE AND DECISION MAKING

pp.：  221 – 313

PART IV. MODELS AND APPLICATIONS

pp.：  313 – 439

APPENDICES

pp.：  439 – 555

Bibliography

pp.：  555 – 575

Subject lndex

pp.：  575 – 591

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