Markov chain monte carlo: stochastic simulation for bayesian inference, second edition
Auteur :
Gamerman, Dani / Lopes, Hedibert F.
Éditeur :
Taylor & Francis Inc
ISBN :
9781584885870
Date de publication :
10 mai 2006
Dimensions :
23,4 x 15,6 cm
Poids :
780 g
Langue :
Anglais
Pays d'origine :
USA
Incorporating changes in theory and highlighting various applications, this book presents a comprehensive introduction to the methods of Markov Chain Monte Carlo (MCMC) simulation technique. It incorporates the developments in MCMC, including reversible jump, slice sampling, bridge sampling, path sampling, multiple-try, and delayed rejection.