The Bayesian Choice
Subtitle: From Decision-Theoretic Foundations to Computational Implementation
Edition: 2nd ed.
Series: Springer Texts in Statistics
Publisher: Springer
Published: 2007
Place of publication: New York, USA
Language: eng
Format: Hardcover
Number of pages: 577
ISBN-13: 9780387715988
Copyright date: 2007
Subjects: Mathematics and Science; Probability & statistics; Mathematics; Science/Mathematics; Probability & Statistics - General; Bayesian decision theory; Bayesian inference; Mathematics / Statistics; Statistical testing and model choice; computational Bayesian statistics; foundations of Bayesian statistics
Description: 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 statistics such as complete class theorems, the Stein effect, Bayesian model choice, hierarchical and empirical Bayes modeling, Monte Carlo integration including Gibbs sampling, and other MCMC techniques. It was awarded the 2004 DeGroot Prize by the International Society for Bayesian Analysis (ISBA) for setting "a new standard for modern textbooks dealing with Bayesian methods, especially those using MCMC techniques, and that it is a worthy successor to DeGroot's and Berger's earlier texts".
source: https://www.springer.com/us/book/9780387952314