Handbook of Markov chain Monte Carlo /

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 aston...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Brooks, Steve, 1970- (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boca Raton ; London : CRC Press, ©2011.
Colección:Chapman & Hall/CRC handbooks of modern statistical methods.
Temas:
Monte Carlo method.
Monte Carlo method > Case studies.
Markov processes.
Markov processes > Case studies.
Monte Carlo Method
Markov Chains
Méthode de Monte-Carlo.
Méthode de Monte-Carlo > Études de cas.
Processus de Markov.
Processus de Markov > Études de cas.
Markov processes
Monte Carlo method
Monte-Carlo-Simulation
Markov-Algorithmus
Markov-Prozess
Electronic books.
Case Reports
handbooks.
Case studies
Case studies.
Handbooks and manuals.
Études de cas.
Guides et manuels.
Acceso en línea:Texto completo
Descripción
Sumario: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. The wide-ranging practical importance of MCMC has sparked an expansive and deep investigation into fundamental Markov chain theory.The Handbook of Markov Chain Monte Carlo provides a referenc.
Descripción Física:1 online resource (xxv, 592 pages) : illustrations, maps
Bibliografía:Includes bibliographical references and index.
ISBN:9781420079425
1420079425
9780429138508
0429138504
1283257289
9781283257282
9786613257284
6613257281

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