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2010, Wiley series in computational statistics, ISBN 0470748265, xix, 357
Markov Chain Monte Carlo (MCMC) methods are now an indispensable tool in scientific computing. This book discusses recent developments of MCMC methods with an... 
Markov processes | Monte Carlo method
Book
2002, Chapman & Hall texts in statistical science series., ISBN 0412818205, xiii, 245
Book
Journal Article
1997, Technical report series / University of Toronto, Department of Statistics, Volume no. 9705, 25
Book
1998, ISBN 0412055511, xvii, 486
Markov chain Monte Carlo (MCMC) methods are simulation-based methods which can be used for the anlaysis of complex statistical models. The literature in this... 
Monte Carlo method | statistical sampling | mathematical models | Markov processes | Markov, Processus de | statistical analysis | Méthode de Monté-Carlo
Book
2005, ISBN 9812564276, xviii, 220
Book
Journal of Statistical Software, ISSN 1548-7660, 2011, Volume 42, Issue 9, pp. 1 - 21
We introduce MCMCpack, an R package that contains functions to perform Bayesian inference using posterior simulation for a number of statistical models. In... 
Bayesian inference | Markov chain Monte Carlo | R | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | MODELS | DENSITIES | FORCE | MARGINAL LIKELIHOOD | OUTPUT | PACKAGE | SYSTEMS | STATISTICS & PROBABILITY
Journal Article
Proceedings of the National Academy of Sciences of the United States of America, ISSN 0027-8424, 12/2003, Volume 100, Issue 26, pp. 15324 - 15328
Journal Article
1997, 1st ed., Chapman & Hall texts in statistical science series, ISBN 0412818205, 245
Book
2011, ISBN 1420079417, xxv, 592
Book
Journal Article
The Journal of Chemical Physics, ISSN 0021-9606, 08/2018, Volume 149, Issue 7, p. 072326
Journal Article
2010, Wiley series in computational statistics, ISBN 9780470748268
Web Resource
2005, Lecture notes series, Institute for Mathematical Sciences, National University of Singapore, ISBN 9789812564276, Volume 7
Web Resource
2005, Lecture notes series, Institute for Mathematical Sciences, National University of Singapore, ISBN 9812564276, Volume 7
Web Resource
2005, Lecture notes series, Institute for Mathematical Sciences, National University of Singapore, ISBN 9812564276, Volume 7
Web Resource
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