ABSTRACT
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
TABLE OF CONTENTS
part I|336 pages
Foundations, Methodology, and Algorithms
part II|238 pages
Part II. Applications and Case Studies