Posted by **tika12** at Nov. 8, 2007

Chapman & Hall/CRC; 1 edition (December 1, 1995) | ISBN:0412055511 | 512 pages | Djvu | 4,4 Mb

Posted by **leonardo78** at Jan. 15, 2016

Publisher: Chapman and Hall/CRC | 2011 | ISBN: 1420079417 | 619 pages | PDF | 15,1 MB

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 fisheries science and economics.

Posted by **fdts** at Oct. 29, 2014

by Faming Liang, Chuanhai Liu, Raymond Carroll

English | 2010 | ISBN: 0470748265 | 378 pages | PDF | 5.3 MB

Posted by **enmoys** at July 20, 2014

2014 | 135 Pages | ISBN: 4431545166 | PDF | 4 MB

Posted by **bookwyrm** at May 4, 2014

2014 | 135 Pages | ISBN: 4431545166 | PDF | 4 MB

Posted by **interes** at May 3, 2014

English | 2004 | ISBN: 9812389350 | 380 pages | PDF | 14,7 MB

This book teaches modern Markov chain Monte Carlo (MC) simulation techniques step by step. The material should be accessible to advanced undergraduate students and is suitable for a course.

Posted by **interes** at May 3, 2014

English | 2006 | ISBN: 9812564276 | 240 pages | PDF | 3,5 MB

Markov Chain Monte Carlo (MCMC) originated in statistical physics, but has spilled over into various application areas, leading to a corresponding variety of techniques and methods. That variety stimulates new ideas and developments from many different places, and there is much to be gained from cross-fertilization.

Posted by **advisors** at Dec. 26, 2013

2014 | 135 Pages | ISBN: 4431545166 | PDF | 4 MB

Posted by **libr** at May 10, 2017

English | 2014 | ISBN: 0470531118 | ISBN-13: 9780470531112 | 688 pages | PDF | 29,3 MB

Posted by **Jeembo** at March 19, 2017

English | 2000 | ISBN: 0821351486 | 288 Pages | DJVU | 5.3 MB

This book is designed to introduce graduate students and researchers to the primary methods useful for approximating integrals.