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The Bayesian Choice

A Decision-Theoretic Motivation

  • Textbook
  • © 1994

Overview

Part of the book series: Springer Texts in Statistics (STS)

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Table of contents (10 chapters)

Keywords

About this book

From where we stand, the rain seems random. If we could stand somewhere else, we would see the order in it. - T. Hillerman (1990) Coyote Waits. Harper-Collins, New York. This book stemmed from a translation of a French version that was written to supplement the gap in the French statistical literature about Bayesian Analysis and Decision Theory. As a result, its scope is wide enough to cover the two years of the French graduate Statistics curriculum and, more generally, most graduate programs. This book builds on very little pre­ requisites in Statistics and only requires basic skills in calculus, measure theory, and probability. Intended as a preparation of Ph. D. students, this book goes far enough to cover advanced topics and modern developments of Bayesian Statistics (complete class theorems, the Stein effect, hierarchical and empirical modelings, Gibbs sampling, etc. ). As usual, what started as a translation eventually ended up as a deeper revision, because of the com­ ments of French readers, of adjustments to the different needs of American programs, and also because my perception of things has slightly changed in the meantime. As a result, this new version is quite adequate for a general graduate audience of an American university.

Reviews

From reviews of the French edition: "I strongly encourage everyone teaching Bayesian decision theory to use this as the main textbook." (Journal of the American Statistical Association)

Authors and Affiliations

  • URA CNRS 1378 — Dépt. de Math., Université de Rouen, Mont Saint Aignan Cedex, France

    Christian P. Robert

Bibliographic Information

  • Book Title: The Bayesian Choice

  • Book Subtitle: A Decision-Theoretic Motivation

  • Authors: Christian P. Robert

  • Series Title: Springer Texts in Statistics

  • DOI: https://doi.org/10.1007/978-1-4757-4314-2

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer Science+Business Media New York 1994

  • eBook ISBN: 978-1-4757-4314-2Published: 17 April 2013

  • Series ISSN: 1431-875X

  • Series E-ISSN: 2197-4136

  • Edition Number: 1

  • Number of Pages: XIV, 437

  • Number of Illustrations: 2 b/w illustrations

  • Topics: Probability Theory and Stochastic Processes

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