Radu craiu (26 resultados)
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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Librería: Basi6 International, Irving, TX, Estados Unidos de AmericaBasi6 International
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EUR 157,76
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Condición: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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EUR 184,77
Envío por EUR 3,43Se envía dentro de Estados Unidos de AmericaCantidad disponible: 4 disponibles
Condición: New.
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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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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EUR 198,00
Envío por EUR 2,27Se envía dentro de Estados Unidos de AmericaCantidad disponible: 10 disponibles
Condición: New.
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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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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EUR 192,57
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Condición: New.
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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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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EUR 198,24
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Condición: New.
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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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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EUR 198,42
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Condición: New.
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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Librería: Chiron Media, Wallingford, Reino UnidoChiron Media
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EUR 207,73
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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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Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
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EUR 218,57
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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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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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EUR 231,37
Envío por EUR 2,27Se envía dentro de Estados Unidos de AmericaCantidad disponible: 10 disponibles
Condición: As New. Unread book in perfect condition.
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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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
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EUR 235,62
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Condición: New.
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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Librería: Speedyhen, Hertfordshire, Reino UnidoSpeedyhen
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EUR 198,43
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Condición: NEW.
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
- Tapa dura
Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
Contactar con el vendedorVendedor de 5 estrellasCondición: Usado - Como Nuevo
EUR 231,43
Envío por EUR 17,45Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 10 disponibles
Condición: As New. Unread book in perfect condition.
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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Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.
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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 285,01
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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 298,75
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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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Librería: Kennys Bookstore, Olney, MD, Estados Unidos de AmericaKennys Bookstore
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EUR 290,76
Envío por EUR 9,03Se envía dentro de Estados Unidos de AmericaCantidad disponible: 2 disponibles
Condición: New. 2026. 2nd Edition. hardcover. . . . . . Books ship from the US and Ireland.
Idioma: Inglés
Editorial: CRC Press, 2026
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 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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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 264,20
Envío por EUR 41,66Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponibles
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
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 288,81
Envío por EUR 43,00Se envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
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 336,25
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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 351,78
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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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Librería: Rarewaves.com UK, London, Reino UnidoRarewaves.com UK
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EUR 293,25
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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 Ltd, 2026
Serie: Libro 3 de 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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- Impresión bajo demanda
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
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EUR 276,82
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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.
Idioma: Inglés
Editorial: Chapman & Hall, 2026
Serie: Libro 3 de 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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- Impresión bajo demanda
Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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EUR 286,38
Envío por EUR 11,63Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Hardcover. Condición: Brand New. 2nd edition. 680 pages. 10.00x7.00x10.00 inches. In Stock. This item is printed on demand.
Idioma: Inglés
Editorial: Taylor & Francis Ltd, 2026
Serie: Libro 3 de 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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- Impresión bajo demanda
Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
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EUR 282,19
Envío por EUR 43,05Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
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 our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Idioma: Inglés
Editorial: Taylor & Francis Ltd, 2026
Serie: Libro 3 de 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
- Tapa dura
- Impresión bajo demanda
Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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EUR 315,78
Envío por EUR 31,82Se envía de Australia a Estados Unidos de AmericaCantidad disponible: 1 disponibles
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 our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
