Scalable monte carlo for bayesian learning
Auteur :
Fearnhead, Paul / Nemeth, Christopher / Oates, Chris J. / Sherlock, Chris
Éditeur :
Cambridge University Press
ISBN :
9781009288446
Date de publication :
5 juin 2025
Dimensions :
22,9 x 15,2 x 1,6 cm
Poids :
520 g
Langue :
Anglais
Pays d'origine :
Grande Bretagne
An intuitive introduction to advanced topics in Markov chain Monte Carlo (MCMC), presenting cutting-edge developments that address the crucial issue of scalability. It could form the basis for a graduate-level course and will be a valuable resource for researchers in the field.