Bayesian Choice From Decision-Theoretic Foundations to Computational Implementation

Name: Bayesian Choice From Decision-Theoretic Foundations to Computational Implementation
Availability: InStock
ISBN: 9780387715988

ISBN-10: 0387715983

ISBN-13: 9780387715988

Edition: 2nd 2007

Authors: Christian P. Robert

List price: $99.99

This item qualifies for FREE shipping.

30 day, 100% satisfaction guarantee!

Sell

Get cash fast!

Buy new: $100.16

Rent eBooks

30 day rental: $26.70 Expiration date: 5/26/2024

60 day rental: $35.60 Expiration date: 6/25/2024

90 day rental: $44.50 Expiration date: 7/25/2024

120 day rental: $53.40 Expiration date: 8/24/2024

180 day rental: $57.85 Expiration date: 10/23/2024

Marketplace

4 new & used from $72.90

what's this?

Rush Rewards U
Members Receive:

You have reached 400 XP and carrot coins. That is the daily max!

Description:

Winner of the 2004 DeGroot Prize The DeGroot Prize is awarded every two years by the International Society for Bayesian Analysis in recognition of an important, timely, thorough and notably original contribution to the statistics literature.This graduate-level textbook presents an introduction to Bayesian statistics and decision theory. Its scope 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. The second edition includes a…

Book details

List price: $99.99
Edition: 2nd
Copyright year: 2007
Publisher: Springer New York
Publication date: 8/27/2007
Binding: Paperback
Pages: 606
Size: 6.10" wide x 9.25" long x 1.00" tall
Weight: 1.914



Decision-theoretic foundations of statistical inference


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