Handbook of Markov Chain Monte Carlo

by Steve Brooks (Editor), Andrew Gelman (Editor), Galin Jones (Editor)

Since their popularization in the 1990s, Markov chain Monte Carlo (MCMC) methods have revolutionized statistical computing and have had an especially profound impact on the practice of Bayesian statistics. Furthermore, MCMC methods have enabled the development and use of intricate models in an astonishing array of disciplines as diverse as fisherie

Genres: Artificial Intelligence, Mathematics

619 pages, Kindle Edition

First published June 1, 2010

Reviews

[Richard · Rating 5 out of 5]

Fantastic reference text for anyone interested in MCMC, deals with very engaging subject matter that has many real-world practical applications.