The Bayesian Choice From Decision-Theoretic Foundations to Computational Implementation

The Bayesian Choice From Decision-Theoretic Foundations to Computational Implementation / by Christian Robert.

Winner of the 2004 DeGroot Prize This paperback edition, a reprint of the 2001 edition, is a graduate-level textbook that introduces Bayesian statistics and decision theory. It covers both the basic ideas of statistical theory, and also some of the more modern and advanced topics of Bayesian statist...

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Bibliographic Details
Main Author: Robert, Christian (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: New York, NY : Springer New York : Imprint: Springer, 2007.
Edition:2nd ed. 2007.
Series:Springer Texts in Statistics,
Springer eBook Collection.
Subjects:
Probabilities.
Statistics .
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • Decision-Theoretic Foundations
  • From Prior Information to Prior Distributions
  • Bayesian Point Estimation
  • Tests and Confidence Regions
  • Bayesian Calculations
  • Model Choice
  • Admissibility and Complete Classes
  • Invariance, Haar Measures, and Equivariant Estimators
  • Hierarchical and Empirical Bayes Extensions
  • A Defense of the Bayesian Choice.

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