Craiu radu v (27 risultati)
Lingua: Inglese
Editore: Chapman and Hall/CRC, 2026
Serie: Libro 3 di 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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Lingua: Inglese
Editore: Chapman and Hall/CRC, 2026
Serie: Libro 3 di 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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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)
Lingua: Inglese
Editore: Chapman and Hall/CRC, 2026
Serie: Libro 3 di 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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Lingua: Inglese
Editore: Chapman and Hall/CRC, 2026
Serie: Libro 3 di 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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Condizione: New.
Lingua: Inglese
Editore: Chapman and Hall/CRC, 2026
Serie: Libro 3 di 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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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)
Lingua: Inglese
Editore: Chapman and Hall/CRC, 2026
Serie: Libro 3 di 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
- Rilegato
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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EUR 197,36
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Condizione: New.
Lingua: Inglese
Editore: Chapman and Hall/CRC, 2026
Serie: Libro 3 di 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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Da: Chiron Media, Wallingford, Regno UnitoChiron Media
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hardcover. Condizione: New.
Lingua: Inglese
Editore: CRC Press, 2026
Serie: Libro 3 di 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
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HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Lingua: Inglese
Editore: Chapman and Hall/CRC, 2026
Serie: Libro 3 di 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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Da: California Books, Miami, FL, U.S.A.California Books
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Condizione: New.
Handbook of Markov Chain Monte Carlo
Craiu, Radu V. (EDT); Vats, Dootika (EDT); Jones, Galin L. (EDT); Brooks, Steve (EDT); Gelman, Andrew (EDT)
Lingua: Inglese
Editore: Chapman and Hall/CRC, 2026
Serie: Libro 3 di 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
- Rilegato
Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Condizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Chapman and Hall/CRC, 2026
Serie: Libro 3 di 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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EUR 199,34
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Condizione: NEW.
Handbook of Markov Chain Monte Carlo
Craiu, Radu V. (EDT); Vats, Dootika (EDT); Jones, Galin L. (EDT); Brooks, Steve (EDT); Gelman, Andrew (EDT)
Lingua: Inglese
Editore: Chapman and Hall/CRC, 2026
Serie: Libro 3 di 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
- Rilegato
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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EUR 232,42
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Condizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Chapman and Hall/CRC, 2026
Serie: Libro 3 di 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.
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Condizione: New. 2026. 2nd Edition. hardcover. . . . . .
Lingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2026
Serie: Libro 3 di 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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Da: Rarewaves USA, HEBRON, KY, U.S.A.Rarewaves USA
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Hardback. Condizione: 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 deepe…r 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.
Lingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2026
Serie: Libro 3 di 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
- Rilegato
Da: Rarewaves.com USA, London, LONDO, Regno UnitoRarewaves.com USA
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Hardback. Condizione: 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 deepe…r 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.
Lingua: Inglese
Editore: Chapman and Hall/CRC, 2026
Serie: Libro 3 di 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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Da: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore
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EUR 289,41
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Condizione: New. 2026. 2nd Edition. hardcover. . . . . . Books ship from the US and Ireland.
Lingua: Inglese
Editore: CRC Press, 2026
Serie: Libro 3 di 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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Da: moluna, Greven, Germaniamoluna
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EUR 244,38
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Condizione: 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.
Lingua: Inglese
Editore: Taylor & Francis Ltd Mär 2026, 2026
Serie: Libro 3 di 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 234,99
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Buch. Condizione: 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.
Lingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2026
Serie: Libro 3 di 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
- Rilegato
Da: Rarewaves USA United, HEBRON, KY, U.S.A.Rarewaves USA United
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EUR 290,13
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Hardback. Condizione: 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 deepe…r 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.
Lingua: Inglese
Editore: TAYLOR & FRANCIS NP EXCLUSIVE(CBS), 2026
Serie: Libro 3 di 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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- Edizione Internazionale
Da: UK BOOKS STORE, London, LONDO, Regno UnitoUK BOOKS STORE
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Condizione: 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 t…he Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
Lingua: Inglese
Editore: Taylor & Francis Ltd, 2026
Serie: Libro 3 di 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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Da: preigu, Osnabrück, Germaniapreigu
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EUR 269,40
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Buch. Condizione: Neu. Handbook of Markov Chain Monte Carlo | Andrew Gelman (u. a.) | Buch | Chapman & Hall/CRC Handbooks of Modern Statistical Methods | Einband - fest (Hardcover) | Englisch | 2026 | Taylor & Francis Ltd | EAN 9781032591575 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr…[at]libri[dot]de | Anbieter: preigu.
Lingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2026
Serie: Libro 3 di 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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Da: Rarewaves.com UK, London, Regno UnitoRarewaves.com UK
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EUR 284,02
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Hardback. Condizione: 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 deepe…r 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.
Lingua: Inglese
Editore: Chapman & Hall, 2026
Serie: Libro 3 di 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Hardcover. Condizione: Brand New. 2nd edition. 680 pages. 10.00x7.00x10.00 inches. In Stock.
Lingua: Inglese
Editore: Taylor & Francis Ltd, 2026
Serie: Libro 3 di 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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Hardcover. Condizione: 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…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. 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.
Lingua: Inglese
Editore: Chapman & Hall, 2026
Serie: Libro 3 di 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
- Rilegato
- Print on Demand
Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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EUR 287,69
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Hardcover. Condizione: Brand New. 2nd edition. 680 pages. 10.00x7.00x10.00 inches. In Stock. This item is printed on demand.
Lingua: Inglese
Editore: Taylor & Francis Ltd, 2026
Serie: Libro 3 di 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
- Rilegato
- Print on Demand
Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
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EUR 283,48
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Hardcover. Condizione: 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…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. 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.
Lingua: Inglese
Editore: Taylor & Francis Ltd, 2026
Serie: Libro 3 di 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
- Rilegato
- Print on Demand
Da: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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EUR 313,06
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Hardcover. Condizione: 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…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. 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.
