Handbook of Markov Chain Monte Carlo PDF
Edited by Steve Brooks, Andrew Gelman, Galin Jones, Xiao-Li Meng
Part of the ISSN series
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Description
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
Information
-
Download - Immediately Available
- Format:PDF
- Pages:619 pages
- Publisher:CRC Press
- Publication Date:10/05/2011
- Category:
- ISBN:9781420079425
Information
-
Download - Immediately Available
- Format:PDF
- Pages:619 pages
- Publisher:CRC Press
- Publication Date:10/05/2011
- Category:
- ISBN:9781420079425
