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Steve (University of Cambridge, UK) Brooks & Andrew (Department of Statistics, Columbia University, New York, USA) Gelman
Handbook of Markov Chain Monte Carlo [PDF ebook]

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Copertina de Steve (University of Cambridge, UK) Brooks & Andrew (Department of Statistics, Columbia University, New York, USA) Gelman: Handbook of Markov Chain Monte Carlo (PDF)

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

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Format PDF ● Pagini 619 ● ISBN 9781420079425 ● Editor Steve (University of Cambridge, UK) Brooks & Andrew (Department of Statistics, Columbia University, New York, USA) Gelman ● Editura CRC Press ● Publicat 2011 ● Descărcabil 3 ori ● Valută EUR ● ID 7167175 ● Protecție împotriva copiilor Adobe DRM

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Steve Brooks Andrew Gelman Galin Jones Xiao-Li Meng Cambridge, England, UK) Brooks Steve (University of Cambridge New York, New York, USA) Gelman Andrew (Columbia University Minneapolis, Minnesota, USA) Jones Galin (University of Minnesota Cambridge, Massachusetts, USA) Meng Xiao-Li (Harvard university Harvard University Xiao-Li (Harvard university) Meng UK) Brooks Steve (University of Cambridge Columbia University, New York, USA) Gelman Andrew (Department of Statistics Cambridge, Massachusetts, USA) Meng Xiao-Li (Harvard University

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