Abstract:Chapter 6 Markov Chain Monte Carlo Dirk P. Kroese, Dirk P. Kroese University of Queensland, Department of Mathmatics, Brisbane, AustraliaSearch for more papers by this authorThomas Taimre, Thomas Taim...Chapter 6 Markov Chain Monte Carlo Dirk P. Kroese, Dirk P. Kroese University of Queensland, Department of Mathmatics, Brisbane, AustraliaSearch for more papers by this authorThomas Taimre, Thomas Taimre University of Queensland, Department of Mathmatics, Brisbane, AustraliaSearch for more papers by this authorZdravko I. Botev, Zdravko I. Botev University of Queensland, Department of Mathmatics, Brisbane, AustraliaSearch for more papers by this authorRueven Y. Rubinstein, Rueven Y. Rubinstein Technion-Israel Institute of Technology, Faculty of Industrial Engineering and Management, Haifa, IsraelSearch for more papers by this author Book Author(s):Dirk P. Kroese, Dirk P. Kroese University of Queensland, Department of Mathmatics, Brisbane, AustraliaSearch for more papers by this authorThomas Taimre, Thomas Taimre University of Queensland, Department of Mathmatics, Brisbane, AustraliaSearch for more papers by this authorZdravko I. Botev, Zdravko I. Botev University of Queensland, Department of Mathmatics, Brisbane, AustraliaSearch for more papers by this authorRueven Y. Rubinstein, Rueven Y. Rubinstein Technion-Israel Institute of Technology, Faculty of Industrial Engineering and Management, Haifa, IsraelSearch for more papers by this author First published: 03 December 2007 https://doi.org/10.1002/9780470285312.ch6Book Series:Wiley Series in Probability and Statistics AboutPDFPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShareShare a linkShare onEmailFacebookTwitterLinkedInRedditWechat Simulation and the Monte Carlo Method: Solutions Manual to Accompany, Second Edition RelatedInformationRead More
Publication Year: 2007
Publication Date: 2007-12-03
Language: en
Type: other
Indexed In: ['crossref']
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Cited By Count: 6
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