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Handbook of Markov Chain Monte Carlo brings together the major advances that have occurred in recent years while incorporating enough introductory material for new users of MCMC. Along with thorough coverage of the theoretical foundations and algorithmic and computational methodology, this comprehensive handbook includes substantial realistic case studies from a variety of disciplines. These case studies demonstrate the application of MCMC methods and serve as a series of templates for the construction, implementation, and choice of MCMC methodology.
Über die Autorin bzw. den Autor: Steve Brooks, Andrew Gelman, Galin Jones, Xiao-Li Meng
Titel: Handbook of Markov Chain Monte Carlo (...
Verlag: Chapman and Hall/CRC
Erscheinungsdatum: 2011
Einband: Hardcover
Zustand: New
Anbieter: Chiron Media, Wallingford, Vereinigtes Königreich
Hardcover. Zustand: New. Bestandsnummer des Verkäufers 6666-TNFPD-9781420079418
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Anbieter: CitiRetail, Stevenage, Vereinigtes Königreich
Hardcover. Zustand: new. Hardcover. 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 reference for the broad audience of developers and users of MCMC methodology interested in keeping up with cutting-edge theory and applications. The first half of the book covers MCMC foundations, methodology, and algorithms. The second half considers the use of MCMC in a variety of practical applications including in educational research, astrophysics, brain imaging, ecology, and sociology. The in-depth introductory section of the book allows graduate students and practicing scientists new to MCMC to become thoroughly acquainted with the basic theory, algorithms, and applications.The book supplies detailed examples and case studies of realistic scientific problems presenting the diversity of methods used by the wide-ranging MCMC community. Those familiar with MCMC methods will find this book a useful refresher of current theory and recent developments. Brings together the major advances that have occurred over the years while incorporating enough introductory material for new users of Markov Chain Monte Carlo. Along with coverage of the theoretical foundations and algorithmic and computational methodology, this handbook also includes case studies that demonstrate the application of MCMC methods. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9781420079418
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Used, like-new, tight spine, no markings, from smoke-free environment. Bestandsnummer des Verkäufers B110
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Zustand: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc. Bestandsnummer des Verkäufers 00094451777
Anbieter: World of Books (was SecondSale), Montgomery, IL, USA
Zustand: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc. Bestandsnummer des Verkäufers 00089433885
Anbieter: Grand Eagle Retail, Bensenville, IL, USA
Hardcover. Zustand: new. Hardcover. 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 reference for the broad audience of developers and users of MCMC methodology interested in keeping up with cutting-edge theory and applications. The first half of the book covers MCMC foundations, methodology, and algorithms. The second half considers the use of MCMC in a variety of practical applications including in educational research, astrophysics, brain imaging, ecology, and sociology. The in-depth introductory section of the book allows graduate students and practicing scientists new to MCMC to become thoroughly acquainted with the basic theory, algorithms, and applications.The book supplies detailed examples and case studies of realistic scientific problems presenting the diversity of methods used by the wide-ranging MCMC community. Those familiar with MCMC methods will find this book a useful refresher of current theory and recent developments. Brings together the major advances that have occurred over the years while incorporating enough introductory material for new users of Markov Chain Monte Carlo. Along with coverage of the theoretical foundations and algorithmic and computational methodology, this handbook also includes case studies that demonstrate the application of MCMC methods. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9781420079418
Anbieter: moluna, Greven, Deutschland
Gebunden. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Steve Brooks, Andrew Gelman, Galin Jones, Xiao-Li MengSince 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 st. Bestandsnummer des Verkäufers 595754858
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