Lingua: Cinese
Editore: China Esperanto Press, China, Beijing, 1994
ISBN 10: 7505200712 ISBN 13: 9787505200715
Da: 2Vbooks, Derwood, MD, U.S.A.
Trade paperback. Condizione: Fine. 75 p. Audience: General/trade. No previous owner's name. Clean, tight pages. No bent corners. No remainder mark. SC 309.
EUR 104,26
Quantità: 15 disponibili
Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 104,35
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 112,40
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 106,95
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 119,31
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 104,25
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EUR 19,06
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Aggiungi al carrelloCondizione: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 127,60
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Aggiungi al carrelloCondizione: New.
Condizione: New. 1st edition NO-PA16APR2015-KAP.
Da: Majestic Books, Hounslow, Regno Unito
EUR 124,75
Quantità: 3 disponibili
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Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 121,77
Quantità: 1 disponibili
Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 121,74
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 121,75
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Aggiungi al carrelloCondizione: New.
EUR 136,39
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New. pp. xix + 357 Illus.
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Prima edizione
EUR 134,17
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. * Presents the latest developments in Monte Carlo research. * Provides a toolkit for simulating complex systems using MCMC. * Introduces a wide range of algorithms including Gibbs sampler, Metropolis-Hastings and an overview of sequential Monte Carlo algorithms. Series: Wiley Series in Computational Statistics. Num Pages: 378 pages, Illustrations. BIC Classification: PBKS. Category: (P) Professional & Vocational. Dimension: 159 x 233 x 26. Weight in Grams: 724. . 2010. 1st Edition. Hardcover. . . . .
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 138,69
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 140,14
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
Condizione: New. pp. xix + 357.
Da: Kennys Bookstore, Olney, MD, U.S.A.
EUR 167,63
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. * Presents the latest developments in Monte Carlo research. * Provides a toolkit for simulating complex systems using MCMC. * Introduces a wide range of algorithms including Gibbs sampler, Metropolis-Hastings and an overview of sequential Monte Carlo algorithms. Series: Wiley Series in Computational Statistics. Num Pages: 378 pages, Illustrations. BIC Classification: PBKS. Category: (P) Professional & Vocational. Dimension: 159 x 233 x 26. Weight in Grams: 724. . 2010. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.
Da: Revaluation Books, Exeter, Regno Unito
EUR 174,56
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 168 pages. 9.19x6.13x0.47 inches. In Stock.
Da: Revaluation Books, Exeter, Regno Unito
EUR 183,94
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 1st edition. 378 pages. 9.00x6.00x0.75 inches. In Stock.
EUR 191,27
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Neuware - Markov Chain Monte Carlo (MCMC) methods are now an indispensable tool in scientific computing. This book discusses recent developments of MCMC methods with an emphasis on those making use of past sample information during simulations. The application examples are drawn from diverse fields such as bioinformatics, machine learning, social science, combinatorial optimization, and computational physics.Key Features:\* Expanded coverage of the stochastic approximation Monte Carlo and dynamic weighting algorithms that are essentially immune to local trap problems.\* A detailed discussion of the Monte Carlo Metropolis-Hastings algorithm that can be used for sampling from distributions with intractable normalizing constants.\* Up-to-date accounts of recent developments of the Gibbs sampler.\* Comprehensive overviews of the population-based MCMC algorithms and the MCMC algorithms with adaptive proposals.\* Accompanied by a supporting website featuring datasets used in the book, along with codes used for some simulation examples.This book can be used as a textbook or a reference book for a one-semester graduate course in statistics, computational biology, engineering, and computer sciences. Applied or theoretical researchers will also find this book beneficial.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 248,90
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 239,38
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 274,00
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Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 144,35
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Lingua: Inglese
Editore: John Wiley & Sons Inc, New York, 2010
ISBN 10: 0470748265 ISBN 13: 9780470748268
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Prima edizione Print on Demand
Hardcover. Condizione: new. Hardcover. Markov Chain Monte Carlo (MCMC) methods are now an indispensable tool in scientific computing. This book discusses recent developments of MCMC methods with an emphasis on those making use of past sample information during simulations. The application examples are drawn from diverse fields such as bioinformatics, machine learning, social science, combinatorial optimization, and computational physics. Key Features: Expanded coverage of the stochastic approximation Monte Carlo and dynamic weighting algorithms that are essentially immune to local trap problems.A detailed discussion of the Monte Carlo Metropolis-Hastings algorithm that can be used for sampling from distributions with intractable normalizing constants.Up-to-date accounts of recent developments of the Gibbs sampler.Comprehensive overviews of the population-based MCMC algorithms and the MCMC algorithms with adaptive proposals. This book can be used as a textbook or a reference book for a one-semester graduate course in statistics, computational biology, engineering, and computer sciences. Applied or theoretical researchers will also find this book beneficial. * Presents the latest developments in Monte Carlo research. * Provides a toolkit for simulating complex systems using MCMC. * Introduces a wide range of algorithms including Gibbs sampler, Metropolis-Hastings and an overview of sequential Monte Carlo algorithms. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 140,99
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Aggiungi al carrelloHRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 128,17
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Aggiungi al carrelloHardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.