Galin jones (33 resultados)

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Condición: good. Fast Free Shipping â" Good condition. It may show normal signs of use, such as light writing, highlighting, or library markings, but all pages are intact and the book is fully readable. A solid, complete copy that's ready to enjoy.

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Serie: Libro 3 de 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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- Edición internacional
Librería: Basi6 International, Irving, TX, Estados Unidos de AmericaBasi6 International
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EUR 54,26
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paperback. Condición: As New.

Idioma: Inglés
Editorial: Chapman and Hall/CRC, 2011
Serie: Libro 3 de 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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Librería: World of Books (was SecondSale), Montgomery, IL, Estados Unidos de AmericaWorld of Books (was SecondSale)
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EUR 140,12
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Idioma: Inglés
Editorial: Chapman and Hall/CRC, 2011
Serie: Libro 3 de 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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- Primera edición
Librería: YourTechBooks, Bala Cynwyd, PA, Estados Unidos de AmericaYourTechBooks
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Hardcover. Condición: Very Good. 1st Edition. Used, like-new, tight spine, no markings, from smoke-free environment.

Idioma: Inglés
Editorial: Chapman and Hall/CRC, 2026
Serie: Libro 3 de 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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EUR 157,96
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Idioma: Inglés
Editorial: Chapman and Hall/CRC, 2026
Serie: Libro 3 de 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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EUR 184,99
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Handbook of Markov Chain Monte Carlo
Craiu, Radu V. (EDT); Vats, Dootika (EDT); Jones, Galin L. (EDT); Brooks, Steve (EDT); Gelman, Andrew (EDT)
Idioma: Inglés
Editorial: Chapman and Hall/CRC, 2026
Serie: Libro 3 de 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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EUR 198,25
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Idioma: Inglés
Editorial: Chapman and Hall/CRC, 2026
Serie: Libro 3 de 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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Idioma: Inglés
Editorial: Chapman and Hall/CRC, 2026
Serie: Libro 3 de 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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EUR 198,24
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Handbook of Markov Chain Monte Carlo
Craiu, Radu V. (EDT); Vats, Dootika (EDT); Jones, Galin L. (EDT); Brooks, Steve (EDT); Gelman, Andrew (EDT)
Idioma: Inglés
Editorial: Chapman and Hall/CRC, 2026
Serie: Libro 3 de 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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Idioma: Inglés
Editorial: Chapman and Hall/CRC, 2026
Serie: Libro 3 de 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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hardcover. Condición: New.

Idioma: Inglés
Editorial: CRC Press, 2026
Serie: Libro 3 de 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Handbook of Markov Chain Monte Carlo
Craiu, Radu V. (EDT); Vats, Dootika (EDT); Jones, Galin L. (EDT); Brooks, Steve (EDT); Gelman, Andrew (EDT)
Idioma: Inglés
Editorial: Chapman and Hall/CRC, 2026
Serie: Libro 3 de 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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Idioma: Inglés
Editorial: Chapman and Hall/CRC, 2026
Serie: Libro 3 de 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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Editorial: Chapman and Hall/CRC, 2026
Serie: Libro 3 de 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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EUR 198,50
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Handbook of Markov Chain Monte Carlo
Craiu, Radu V. (EDT); Vats, Dootika (EDT); Jones, Galin L. (EDT); Brooks, Steve (EDT); Gelman, Andrew (EDT)
Idioma: Inglés
Editorial: Chapman and Hall/CRC, 2026
Serie: Libro 3 de 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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EUR 231,49
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Idioma: Inglés
Editorial: Chapman and Hall/CRC, 2026
Serie: Libro 3 de 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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EUR 237,91
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Condición: New. 2026. 2nd Edition. hardcover. . . . . .

Idioma: Inglés
Editorial: Taylor and Francis Ltd, GB, 2026
Serie: Libro 3 de 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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Librería: Rarewaves USA, HEBRON, KY, Estados Unidos de AmericaRarewaves USA
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EUR 285,36
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Hardback. Condición: New. This thoroughly revised and expanded second edition of the Handbook of Markov Chain Monte Carlo reflects the dramatic evolution of MCMC methods since the publication of the first edition. With the addition of two new editors, Radu V. Craiu and Dootika Vats, this comprehensive reference now offers deeper… insights into the theoretical foundations and cutting-edge developments that are reshaping the field.Key Features:Completely restructured content with 13 updated chapters from the first edition and ten entirely new chapters reflecting the latest methodological advancesIn-depth coverage of recent breakthroughs in multi-modal sampling, intractable likelihood problems, and involutive MCMC theoryComprehensive exploration of unbiased MCMC methods, control variates, and rigorous convergence boundsPractical guidance on implementing MCMC algorithms on modern hardware and software platformsCutting-edge material on the integration of MCMC with deep learning and other machine learning approachesAuthoritative treatment of theoretical foundations alongside practical implementation strategiesSupplemented by a GitHub repository including sample chapters, code, and dataThis essential reference serves statisticians, computer scientists, physicists, data scientists, and researchers across disciplines who employ computational methods for Bayesian inference and stochastic simulation. Graduate students will find it an invaluable learning resource, while experienced practitioners will appreciate its balance of theoretical depth and practical implementation advice. Whether used as a comprehensive guide to current MCMC methodology or as a reference for specific advanced techniques, this handbook provides the definitive resource for anyone working at the intersection of Bayesian computation and modern statistical modeling.

Idioma: Inglés
Editorial: Taylor and Francis Ltd, GB, 2026
Serie: Libro 3 de 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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Librería: Rarewaves.com USA, London, LONDO, Reino UnidoRarewaves.com USA
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EUR 299,12
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Hardback. Condición: New. This thoroughly revised and expanded second edition of the Handbook of Markov Chain Monte Carlo reflects the dramatic evolution of MCMC methods since the publication of the first edition. With the addition of two new editors, Radu V. Craiu and Dootika Vats, this comprehensive reference now offers deeper… insights into the theoretical foundations and cutting-edge developments that are reshaping the field.Key Features:Completely restructured content with 13 updated chapters from the first edition and ten entirely new chapters reflecting the latest methodological advancesIn-depth coverage of recent breakthroughs in multi-modal sampling, intractable likelihood problems, and involutive MCMC theoryComprehensive exploration of unbiased MCMC methods, control variates, and rigorous convergence boundsPractical guidance on implementing MCMC algorithms on modern hardware and software platformsCutting-edge material on the integration of MCMC with deep learning and other machine learning approachesAuthoritative treatment of theoretical foundations alongside practical implementation strategiesSupplemented by a GitHub repository including sample chapters, code, and dataThis essential reference serves statisticians, computer scientists, physicists, data scientists, and researchers across disciplines who employ computational methods for Bayesian inference and stochastic simulation. Graduate students will find it an invaluable learning resource, while experienced practitioners will appreciate its balance of theoretical depth and practical implementation advice. Whether used as a comprehensive guide to current MCMC methodology or as a reference for specific advanced techniques, this handbook provides the definitive resource for anyone working at the intersection of Bayesian computation and modern statistical modeling.

Idioma: Inglés
Editorial: Chapman and Hall/CRC, 2026
Serie: Libro 3 de 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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EUR 291,12
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Condición: New. 2026. 2nd Edition. hardcover. . . . . . Books ship from the US and Ireland.

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Editorial: CRC Press, 2026
Serie: Libro 3 de 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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EUR 244,38
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Condición: New. Radu V. Craiu is a professor of statistics at the University of Toronto. His research interests are in computational methods in statistics, statistical inference, copula models, model selection procedures, and the use of statistical methods for sc.

Idioma: Inglés
Editorial: Taylor & Francis Ltd Mär 2026, 2026
Serie: Libro 3 de 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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EUR 264,20
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Buch. Condición: Neu. Neuware - This thoroughly revised and expanded second edition of the Handbook of Markov Chain Monte Carlo reflects the dramatic evolution of MCMC methods since the publication of the first edition. With the addition of two new editors, Radu V. Craiu and Dootika Vats, this comprehensive reference now offers…deeper insights into the theoretical foundations and cutting-edge developments that are reshaping the field.Key Features: - Completely restructured content with 13 updated chapters from the first edition and ten entirely new chapters reflecting the latest methodological advances - In-depth coverage of recent breakthroughs in multi-modal sampling, intractable likelihood problems, and involutive MCMC theory - Comprehensive exploration of unbiased MCMC methods, control variates, and rigorous convergence bounds - Practical guidance on implementing MCMC algorithms on modern hardware and software platforms - Cutting-edge material on the integration of MCMC with deep learning and other machine learning approaches - Authoritative treatment of theoretical foundations alongside practical implementation strategies - Supplemented by a GitHub repository including sample chapters, code, and data This essential reference serves statisticians, computer scientists, physicists, data scientists, and researchers across disciplines who employ computational methods for Bayesian inference and stochastic simulation. Graduate students will find it an invaluable learning resource, while experienced practitioners will appreciate its balance of theoretical depth and practical implementation advice. Whether used as a comprehensive guide to current MCMC methodology or as a reference for specific advanced techniques, this handbook provides the definitive resource for anyone working at the intersection of Bayesian computation and modern statistical modeling.

Idioma: Inglés
Editorial: Taylor and Francis Ltd, GB, 2026
Serie: Libro 3 de 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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Librería: Rarewaves USA United, HEBRON, KY, Estados Unidos de AmericaRarewaves USA United
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EUR 288,90
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Hardback. Condición: New. This thoroughly revised and expanded second edition of the Handbook of Markov Chain Monte Carlo reflects the dramatic evolution of MCMC methods since the publication of the first edition. With the addition of two new editors, Radu V. Craiu and Dootika Vats, this comprehensive reference now offers deeper… insights into the theoretical foundations and cutting-edge developments that are reshaping the field.Key Features:Completely restructured content with 13 updated chapters from the first edition and ten entirely new chapters reflecting the latest methodological advancesIn-depth coverage of recent breakthroughs in multi-modal sampling, intractable likelihood problems, and involutive MCMC theoryComprehensive exploration of unbiased MCMC methods, control variates, and rigorous convergence boundsPractical guidance on implementing MCMC algorithms on modern hardware and software platformsCutting-edge material on the integration of MCMC with deep learning and other machine learning approachesAuthoritative treatment of theoretical foundations alongside practical implementation strategiesSupplemented by a GitHub repository including sample chapters, code, and dataThis essential reference serves statisticians, computer scientists, physicists, data scientists, and researchers across disciplines who employ computational methods for Bayesian inference and stochastic simulation. Graduate students will find it an invaluable learning resource, while experienced practitioners will appreciate its balance of theoretical depth and practical implementation advice. Whether used as a comprehensive guide to current MCMC methodology or as a reference for specific advanced techniques, this handbook provides the definitive resource for anyone working at the intersection of Bayesian computation and modern statistical modeling.

Idioma: Inglés
Editorial: TAYLOR & FRANCIS NP EXCLUSIVE(CBS), 2026
Serie: Libro 3 de 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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- Edición internacional
Librería: UK BOOKS STORE, London, LONDO, Reino UnidoUK BOOKS STORE
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EUR 336,67
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Condición: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if th…e Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.

Idioma: Inglés
Editorial: Chapman & Hall, 2026
Serie: Libro 3 de 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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EUR 351,60
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Hardcover. Condición: Brand New. 2nd edition. 680 pages. 10.00x7.00x10.00 inches. In Stock.

Idioma: Inglés
Editorial: Taylor and Francis Ltd, GB, 2026
Serie: Libro 3 de 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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EUR 293,35
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Hardback. Condición: New. This thoroughly revised and expanded second edition of the Handbook of Markov Chain Monte Carlo reflects the dramatic evolution of MCMC methods since the publication of the first edition. With the addition of two new editors, Radu V. Craiu and Dootika Vats, this comprehensive reference now offers deeper… insights into the theoretical foundations and cutting-edge developments that are reshaping the field.Key Features:Completely restructured content with 13 updated chapters from the first edition and ten entirely new chapters reflecting the latest methodological advancesIn-depth coverage of recent breakthroughs in multi-modal sampling, intractable likelihood problems, and involutive MCMC theoryComprehensive exploration of unbiased MCMC methods, control variates, and rigorous convergence boundsPractical guidance on implementing MCMC algorithms on modern hardware and software platformsCutting-edge material on the integration of MCMC with deep learning and other machine learning approachesAuthoritative treatment of theoretical foundations alongside practical implementation strategiesSupplemented by a GitHub repository including sample chapters, code, and dataThis essential reference serves statisticians, computer scientists, physicists, data scientists, and researchers across disciplines who employ computational methods for Bayesian inference and stochastic simulation. Graduate students will find it an invaluable learning resource, while experienced practitioners will appreciate its balance of theoretical depth and practical implementation advice. Whether used as a comprehensive guide to current MCMC methodology or as a reference for specific advanced techniques, this handbook provides the definitive resource for anyone working at the intersection of Bayesian computation and modern statistical modeling.

Idioma: Inglés
Editorial: CRC Press, 2011
Serie: Libro 3 de 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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Librería: moluna, Greven, Alemaniamoluna
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EUR 146,29
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Gebunden. Condición: 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 pro…found impact on the practice of Bayesian st.

Idioma: Inglés
Editorial: Taylor & Francis Ltd, 2026
Serie: Libro 3 de 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
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EUR 277,16
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Hardcover. Condición: new. Hardcover. This thoroughly revised and expanded second edition of the Handbook of Markov Chain Monte Carlo reflects the dramatic evolution of MCMC methods since the publication of the first edition. With the addition of two new editors, Radu V. Craiu and Dootika Vats, this comprehensive reference now o…ffers deeper insights into the theoretical foundations and cutting-edge developments that are reshaping the field.Key Features:Completely restructured content with 13 updated chapters from the first edition and ten entirely new chapters reflecting the latest methodological advancesIn-depth coverage of recent breakthroughs in multi-modal sampling, intractable likelihood problems, and involutive MCMC theoryComprehensive exploration of unbiased MCMC methods, control variates, and rigorous convergence boundsPractical guidance on implementing MCMC algorithms on modern hardware and software platformsCutting-edge material on the integration of MCMC with deep learning and other machine learning approachesAuthoritative treatment of theoretical foundations alongside practical implementation strategiesSupplemented by a GitHub repository including sample chapters, code, and dataThis essential reference serves statisticians, computer scientists, physicists, data scientists, and researchers across disciplines who employ computational methods for Bayesian inference and stochastic simulation. Graduate students will find it an invaluable learning resource, while experienced practitioners will appreciate its balance of theoretical depth and practical implementation advice. Whether used as a comprehensive guide to current MCMC methodology or as a reference for specific advanced techniques, this handbook provides the definitive resource for anyone working at the intersection of Bayesian computation and modern statistical modeling. With the addition of two new editors, Radu V. Craiu and Dootika Vats, this thoroughly revised and expanded second edition of the Handbook of Markov Chain Monte Carlo reflects the dramatic evolution of MCMC methods since the publication of the first edition, This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.