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Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)
Book 16 of 59: Chapman & Hall/CRC Texts in Statistical ScienceLanguage: English
Published by Chapman and Hall/CRC, 2006
ISBN 10: 1584885874 ISBN 13: 9781584885870
Hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Markov Chain Monte Carlo (Chapman & Hall/CRC Texts in Statistical Science)
Book 16 of 59: Chapman & Hall/CRC Texts in Statistical ScienceLanguage: English
Published by Chapman and Hall/CRC, 2006
ISBN 10: 1584885874 ISBN 13: 9781584885870
Condition: Good. Exact ISBN match. Immediate shipping. No funny business.
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Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)
Book 16 of 59: Chapman & Hall/CRC Texts in Statistical ScienceLanguage: English
Published by Chapman and Hall/CRC, 2006
ISBN 10: 1584885874 ISBN 13: 9781584885870
Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Seller rating 5 out of 5 stars
Condition: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.
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Markov Chain Monte Carlo (Chapman & Hall/CRC Texts in Statistical Science)
Book 16 of 59: Chapman & Hall/CRC Texts in Statistical ScienceLanguage: English
Published by Chapman and Hall/CRC, 2006
ISBN 10: 1584885874 ISBN 13: 9781584885870
hardcover. Condition: New. In shrink wrap. Looks like an interesting title!
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Markov Chain Monte Carlo : Stochastic Simulation for Bayesian Inference
Book 16 of 59: Chapman & Hall/CRC Texts in Statistical ScienceLanguage: English
Published by Chapman and Hall/CRC, 2006
ISBN 10: 1584885874 ISBN 13: 9781584885870
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Markov Chain Monte Carlo : Stochastic Simulation for Bayesian Inference
Book 16 of 59: Chapman & Hall/CRC Texts in Statistical ScienceLanguage: English
Published by Chapman and Hall/CRC, 2006
ISBN 10: 1584885874 ISBN 13: 9781584885870
Condition: New.
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Markov Chain Monte Carlo (Chapman & Hall/CRC Texts in Statistical Science)
Book 16 of 59: Chapman & Hall/CRC Texts in Statistical ScienceLanguage: English
Published by Chapman and Hall/CRC, 2006
ISBN 10: 1584885874 ISBN 13: 9781584885870
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Markov Chain Monte Carlo
Book 16 of 59: Chapman & Hall/CRC Texts in Statistical ScienceLanguage: English
Published by Taylor and Francis Inc, US, 2006
ISBN 10: 1584885874 ISBN 13: 9781584885870
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
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Add to basketHardback. Condition: New. While there have been few theoretical contributions on the Markov Chain Monte Carlo (MCMC) methods in the past decade, current understanding and application of MCMC to the solution of inference problems has increased by leaps and bounds. Incorporating changes in theory and highlighting new applications, Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference, Second Edition presents a concise, accessible, and comprehensive introduction to the methods of this valuable simulation technique. The second edition includes access to an internet site that provides the code, written in R and WinBUGS, used in many of the previously existing and new examples and exercises. More importantly, the self-explanatory nature of the codes will enable modification of the inputs to the codes and variation on many directions will be available for further exploration.Major changes from the previous edition: · More examples with discussion of computational details in chapters on Gibbs sampling and Metropolis-Hastings algorithms · Recent developments in MCMC, including reversible jump, slice sampling, bridge sampling, path sampling, multiple-try, and delayed rejection · Discussion of computation using both R and WinBUGS · Additional exercises and selected solutions within the text, with all data sets and software available for download from the Web · Sections on spatial models and model adequacy The self-contained text units make MCMC accessible to scientists in other disciplines as well as statisticians. The book will appeal to everyone working with MCMC techniques, especially research and graduate statisticians and biostatisticians, and scientists handling data and formulating models. The book has been substantially reinforced as a first reading of material on MCMC and, consequently, as a textbook for modern Bayesian computation and Bayesian inference courses.
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Markov Chain Monte Carlo : Stochastic Simulation for Bayesian Inference
Book 16 of 59: Chapman & Hall/CRC Texts in Statistical ScienceLanguage: English
Published by Chapman and Hall/CRC, 2006
ISBN 10: 1584885874 ISBN 13: 9781584885870
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 150.99
£ 15 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
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Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)
Book 16 of 59: Chapman & Hall/CRC Texts in Statistical ScienceLanguage: English
Published by Chapman and Hall/CRC, 2006
ISBN 10: 1584885874 ISBN 13: 9781584885870
Hardcover. Condition: Like New. Like New. book.
-
Markov Chain Monte Carlo : Stochastic Simulation for Bayesian Inference
Book 16 of 59: Chapman & Hall/CRC Texts in Statistical ScienceLanguage: English
Published by Chapman and Hall/CRC, 2006
ISBN 10: 1584885874 ISBN 13: 9781584885870
Condition: As New. Unread book in perfect condition.
-
Hardcover. Condition: Brand New. 2nd edition. 323 pages. 9.25x6.25x0.75 inches. In Stock.
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Markov Chain Monte Carlo
Book 16 of 59: Chapman & Hall/CRC Texts in Statistical ScienceLanguage: English
Published by Taylor and Francis Inc, US, 2006
ISBN 10: 1584885874 ISBN 13: 9781584885870
£ 151.09
£ 65 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketHardback. Condition: New. While there have been few theoretical contributions on the Markov Chain Monte Carlo (MCMC) methods in the past decade, current understanding and application of MCMC to the solution of inference problems has increased by leaps and bounds. Incorporating changes in theory and highlighting new applications, Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference, Second Edition presents a concise, accessible, and comprehensive introduction to the methods of this valuable simulation technique. The second edition includes access to an internet site that provides the code, written in R and WinBUGS, used in many of the previously existing and new examples and exercises. More importantly, the self-explanatory nature of the codes will enable modification of the inputs to the codes and variation on many directions will be available for further exploration.Major changes from the previous edition: · More examples with discussion of computational details in chapters on Gibbs sampling and Metropolis-Hastings algorithms · Recent developments in MCMC, including reversible jump, slice sampling, bridge sampling, path sampling, multiple-try, and delayed rejection · Discussion of computation using both R and WinBUGS · Additional exercises and selected solutions within the text, with all data sets and software available for download from the Web · Sections on spatial models and model adequacy The self-contained text units make MCMC accessible to scientists in other disciplines as well as statisticians. The book will appeal to everyone working with MCMC techniques, especially research and graduate statisticians and biostatisticians, and scientists handling data and formulating models. The book has been substantially reinforced as a first reading of material on MCMC and, consequently, as a textbook for modern Bayesian computation and Bayesian inference courses.
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Dani Gamerman, Hedibert F. LopesWhile there have been few theoretical contributions on the Markov Chain Monte Carlo (MCMC) methods in the past decade, current understanding and application of MCMC to the solution of inference problems has increased b.
