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Tiantan: Temple of Heaven
Language: Chinese
Published by China Esperanto Press, China, Beijing, 1994
ISBN 10: 7505200712 ISBN 13: 9787505200715
Trade paperback. Condition: Fine. 75 p. Audience: General/trade. No previous owner's name. Clean, tight pages. No bent corners. No remainder mark. SC 309.
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Advanced Markov Chain Monte Carlo
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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Advanced Markov Chain Monte Carlo Methods: Learning from Past Samples (Wiley Series in Computational Statistics)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Sparse Graphical Modeling for High Dimensional Data : A Paradigm of Conditional Independence Tests
Language: English
Published by Chapman and Hall/CRC, 2023
ISBN 10: 0367183730 ISBN 13: 9780367183738
Condition: As New. Unread book in perfect condition.
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Advanced Markov Chain Monte Carlo Methods : Learning from Past Samples
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Modernisation in China
Language: English
Published by Foreign Languages Press, 2004
ISBN 10: 7119032976 ISBN 13: 9787119032979
Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
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Sparse Graphical Modeling for High Dimensional Data : A Paradigm of Conditional Independence Tests
Language: English
Published by Chapman and Hall/CRC, 2023
ISBN 10: 0367183730 ISBN 13: 9780367183738
Condition: New.
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Sparse Graphical Modeling for High Dimensional Data: A Paradigm of Conditional Independence Tests (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
Language: English
Published by Chapman and Hall/CRC, 2023
ISBN 10: 0367183730 ISBN 13: 9780367183738
Condition: New. 1st edition NO-PA16APR2015-KAP.
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Sparse Graphical Modeling for High Dimensional Data: A Paradigm of Conditional Independence Tests (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
Language: English
Published by Chapman and Hall/CRC, 2023
ISBN 10: 0367183730 ISBN 13: 9780367183738
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Sparse Graphical Modeling for High Dimensional Data: A Paradigm of Conditional Independence Tests
Language: English
Published by Taylor & Francis Ltd, 2023
ISBN 10: 0367183730 ISBN 13: 9780367183738
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
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Add to basketCondition: New. pp. xix + 357 Illus.
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Sparse Graphical Modeling for High Dimensional Data : A Paradigm of Conditional Independence Tests
Language: English
Published by Chapman and Hall/CRC, 2023
ISBN 10: 0367183730 ISBN 13: 9780367183738
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Sparse Graphical Modeling for High Dimensional Data : A Paradigm of Conditional Independence Tests
Language: English
Published by Chapman and Hall/CRC, 2023
ISBN 10: 0367183730 ISBN 13: 9780367183738
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Advanced Markov Chain Monte Carlo Methods: Learning from Past Samples
Language: English
Published by John Wiley & Sons Inc, 2010
ISBN 10: 0470748265 ISBN 13: 9780470748268
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Seller rating 5 out of 5 stars
First Edition
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Add to basketCondition: 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. . . . .
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Sparse Graphical Modeling for High Dimensional Data (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
Language: English
Published by Chapman and Hall/CRC, 2023
ISBN 10: 0367183730 ISBN 13: 9780367183738
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
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Sparse Graphical Modeling for High Dimensional Data: A Paradigm of Conditional Independence Tests (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
Language: English
Published by Chapman and Hall/CRC, 2023
ISBN 10: 0367183730 ISBN 13: 9780367183738
Condition: New.
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Condition: New. pp. xix + 357.
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Advanced Markov Chain Monte Carlo Methods: Learning from Past Samples
Language: English
Published by John Wiley & Sons Inc, 2010
ISBN 10: 0470748265 ISBN 13: 9780470748268
Condition: 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.
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Sparse Graphical Modeling for High Dimensional Data: A Paradigm of Conditional Independence Tests (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
Language: English
Published by Chapman and Hall/CRC, 2023
ISBN 10: 0367183730 ISBN 13: 9780367183738
US$ 200.68
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Add to basketHardcover. Condition: Brand New. 168 pages. 9.19x6.13x0.47 inches. In Stock.
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Advanced Markov Chain Monte Carlo Methods Learning From Past Samples
Language: English
Published by John Wiley & Sons Inc, 2010
ISBN 10: 0470748265 ISBN 13: 9780470748268
US$ 211.44
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Add to basketHardcover. Condition: Brand New. 1st edition. 378 pages. 9.00x6.00x0.75 inches. In Stock.
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Buch. Condition: 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.
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Advanced Markov Chain Monte Carlo Methods : Learning from Past Samples
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
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Condition: As New. Unread book in perfect condition.
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Sparse Graphical Modeling for High Dimensional Data
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 4 out of 5 stars
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Add to basketHRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Advanced Markov Chain Monte Carlo Methods (Hardcover)
Language: English
Published by John Wiley & Sons Inc, New York, 2010
ISBN 10: 0470748265 ISBN 13: 9780470748268
First Edition Print on Demand
Hardcover. Condition: 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.
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Advanced Markov Chain Monte Carlo Methods: Learning from Past Samples
Language: English
Published by John Wiley & Sons Inc, 2010
ISBN 10: 0470748265 ISBN 13: 9780470748268
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
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Add to basketHardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
