Advances in Markov chain Monte Carlo
Advances in Markov chain Monte Carlo
This chapter traces some of the key developments that further developed the underpinning theory and potential applications of Markov chain Monte Carlo (MCMC) since the mid 1990s. In particular, it reviews three main developments: reversible jump or transdimensional MCMC, population MCMC methods, and adaptive MCMC.
Keywords: reversible jump MCMC, transdimensional MCMC, population MCMC methods, adaptive MCMC
Oxford Scholarship Online requires a subscription or purchase to access the full text of books within the service. Public users can however freely search the site and view the abstracts and keywords for each book and chapter.
Please, subscribe or login to access full text content.
If you think you should have access to this title, please contact your librarian.
To troubleshoot, please check our FAQs , and if you can't find the answer there, please contact us .