9781420079418 - handbook of markov chain monte carlo (20 risultati)
Lingua: Inglese
Editore: Chapman and Hall/CRC 2011
Serie: Chapman & Hall/CRC Handbooks of Modern Statistical Methods, Libro 3 di 27. Libro 3 di 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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Lingua: Inglese
Editore: Chapman and Hall/CRC 2011
Serie: Chapman & Hall/CRC Handbooks of Modern Statistical Methods, Libro 3 di 27. Libro 3 di 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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Hardcover. Condizione: Very Good. 1st Edition. Used, like-new, tight spine, no markings, from smoke-free environment.
Handbook of Markov Chain Monte Carlo
Brooks, Steve (EDT); Gelman, Andrew (EDT); Jones, Galin L. (EDT); Meng, Xiao-Li (EDT)
Lingua: Inglese
Editore: Chapman and Hall/CRC 2011
Serie: Chapman & Hall/CRC Handbooks of Modern Statistical Methods, Libro 3 di 27. Libro 3 di 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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Handbook of Markov Chain Monte Carlo
Brooks, Steve (EDT); Gelman, Andrew (EDT); Jones, Galin L. (EDT); Meng, Xiao-Li (EDT)
Lingua: Inglese
Editore: Chapman and Hall/CRC 2011
Serie: Chapman & Hall/CRC Handbooks of Modern Statistical Methods, Libro 3 di 27. Libro 3 di 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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Lingua: Inglese
Editore: Chapman and Hall/CRC 2011-05-10 2011
Serie: Chapman & Hall/CRC Handbooks of Modern Statistical Methods, Libro 3 di 27. Libro 3 di 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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Hardcover. Condizione: New.
Handbook of Markov Chain Monte Carlo
Brooks, Steve (EDT); Gelman, Andrew (EDT); Jones, Galin L. (EDT); Meng, Xiao-Li (EDT)
Lingua: Inglese
Editore: Chapman and Hall/CRC 2011
Serie: Chapman & Hall/CRC Handbooks of Modern Statistical Methods, Libro 3 di 27. Libro 3 di 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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Handbook of Markov Chain Monte Carlo
Brooks, Steve (EDT); Gelman, Andrew (EDT); Jones, Galin L. (EDT); Meng, Xiao-Li (EDT)
Lingua: Inglese
Editore: Chapman and Hall/CRC 2011
Serie: Chapman & Hall/CRC Handbooks of Modern Statistical Methods, Libro 3 di 27. Libro 3 di 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
- Rilegato
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Lingua: Inglese
Editore: Chapman and Hall/CRC 2011
Serie: Chapman & Hall/CRC Handbooks of Modern Statistical Methods, Libro 3 di 27. Libro 3 di 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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Editore: Chapman and Hall/CRC 2011
Serie: Chapman & Hall/CRC Handbooks of Modern Statistical Methods, Libro 3 di 27. Libro 3 di 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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Condizione: New. In.
Lingua: Inglese
Editore: Taylor & Francis Group 2011
Serie: Chapman & Hall/CRC Handbooks of Modern Statistical Methods, Libro 3 di 27. Libro 3 di 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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Condizione: New. pp. 619.
Lingua: Inglese
Editore: Taylor & Francis Group 2011
Serie: Chapman & Hall/CRC Handbooks of Modern Statistical Methods, Libro 3 di 27. Libro 3 di 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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Condizione: New. pp. 619.
Lingua: Inglese
Editore: Chapman & Hall 2010
Serie: Chapman & Hall/CRC Handbooks of Modern Statistical Methods, Libro 3 di 27. Libro 3 di 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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Hardcover. Condizione: Brand New. 1st edition. 619 pages. 10.16x7.24x1.34 inches. In Stock.
Lingua: Inglese
Editore: Taylor & Francis Ltd 2011
Serie: Chapman & Hall/CRC Handbooks of Modern Statistical Methods, Libro 3 di 27. Libro 3 di 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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Hardcover. Condizione: 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.
Lingua: Inglese
Editore: Taylor & Francis Group 2011
Serie: Chapman & Hall/CRC Handbooks of Modern Statistical Methods, Libro 3 di 27. Libro 3 di 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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Condizione: New. pp. 619 750 This item is printed on demand.
Lingua: Inglese
Editore: CRC Press 2011
Serie: Chapman & Hall/CRC Handbooks of Modern Statistical Methods, Libro 3 di 27. Libro 3 di 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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Gebunden. Condizione: 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 pr…ofound impact on the practice of Bayesian st.
Lingua: Inglese
Editore: Taylor & Francis Ltd 2011
Serie: Chapman & Hall/CRC Handbooks of Modern Statistical Methods, Libro 3 di 27. Libro 3 di 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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Hardcover. Condizione: 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 our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Lingua: Inglese
Editore: CRC Press 2011
Serie: Chapman & Hall/CRC Handbooks of Modern Statistical Methods, Libro 3 di 27. Libro 3 di 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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Lingua: Inglese
Editore: CRC Press 2011
Serie: Chapman & Hall/CRC Handbooks of Modern Statistical Methods, Libro 3 di 27. Libro 3 di 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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Lingua: Inglese
Editore: Chapman And Hall/CRC 2011
Serie: Chapman & Hall/CRC Handbooks of Modern Statistical Methods, Libro 3 di 27. Libro 3 di 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.
Lingua: Inglese
Editore: Taylor & Francis Ltd 2011
Serie: Chapman & Hall/CRC Handbooks of Modern Statistical Methods, Libro 3 di 27. Libro 3 di 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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Hardcover. Condizione: 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 our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
