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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.

Scalable Monte Carlo For Bayesian Learning

by Paul (Lancaster University) Fearnhead, Christopher (Newcastle University) Nemeth, Chris (Lancaster University) Sherlock e Chris J. (University Of Newcastle Upon Tyne) Oates

Property Description
ISBN: 9781009288446
Publisher: CAMBRIDGE UNIVERSITY PRESS
Release Date: June of 2025
Cover: Hardcover
Pages: 247
Format: Book
Collection: Institute Of Mathematical Statistics Monographs
Categories: Books in English > Science > Mathematics
EAN: 9781009288446