Bayesian Theory and Applications

By Paul Damien, Petros Dellaportas, Nicholas G. Polson

Book Overview

The development of hierarchical models and Markov chain Monte Carlo (MCMC) techniques forms one of the most profound advances in Bayesian analysis since the 1970s and provides the basis for advances in virtually all areas of applied and theoretical Bayesian statistics.

• Format: Paperback
• Language: English
• ISBN: 0198739079
• ISBN13: 9780198739074
• Release Date: April 2015
• Publisher: OUP Oxford
• Length: 718 Pages
• Weight: 2.18 lbs.
• Dimensions: 1.4" x 6.1" x 9.2"