9781584885870 - markov chain monte carlo: stochastic simulation for bayesian inference, second edition di gamerman, dani; lopes, hedibert f. (24 risultati)
Lingua: Inglese
Editore: Chapman and Hall/CRC (edition 2), 2006
Serie: Libro 16 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Hardcover. Condizione: Very Good. 2. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
Lingua: Inglese
Editore: Chapman and Hall/CRC (edition 2), 2006
Serie: Libro 16 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Hardcover. Condizione: Very Good. 2. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
Lingua: Inglese
Editore: Chapman and Hall/CRC, 2006
Serie: Libro 16 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Hardcover. Condizione: 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.
Lingua: Inglese
Editore: CRC Press, 2006
Serie: Libro 16 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Hardcover. Condizione: Very Good. No Jacket. Missing dust jacket; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Lingua: Inglese
Editore: Chapman & Hall/CRC, 2006
Serie: Libro 16 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Hardcover. Condizione: Very good. Second edition. Very good condition. Binding is tight. Inside is clean and unmarked.
Lingua: Inglese
Editore: Chapman and Hall/CRC, 2006
Serie: Libro 16 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Lingua: Inglese
Editore: Chapman and Hall/CRC, 2006
Serie: Libro 16 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Condizione: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.
Lingua: Inglese
Editore: Chapman and Hall/CRC, 2006
Serie: Libro 16 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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hardcover. Condizione: New. In shrink wrap. Looks like an interesting title.
Lingua: Inglese
Editore: Chapman and Hall/CRC, 2006
Serie: Libro 16 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Lingua: Inglese
Editore: Chapman and Hall/CRC, 2006
Serie: Libro 16 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Editore: Taylor & Francis Inc, 2006
Serie: Libro 16 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Hardback. Condizione: New. New copy - Usually dispatched within 4 working days.
Lingua: Inglese
Editore: Chapman and Hall/CRC, 2006
Serie: Libro 16 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Da: California Books, Miami, FL, U.S.A.California Books
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Lingua: Inglese
Editore: Chapman and Hall/CRC, 2006
Serie: Libro 16 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Editore: Chapman and Hall/CRC, 2006
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Lingua: Inglese
Editore: Chapman and Hall/CRC, 2006
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Hardcover. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Lingua: Inglese
Editore: Chapman and Hall/CRC, 2006
Serie: Libro 16 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Lingua: Inglese
Editore: Taylor and Francis Inc, US, 2006
Serie: Libro 16 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Hardback. Condizione: 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.
Lingua: Inglese
Editore: Chapman & Hall, 2006
Serie: Libro 16 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Hardcover. Condizione: Brand New. 2nd edition. 323 pages. 9.25x6.25x0.75 inches. In Stock.
Lingua: Inglese
Editore: Taylor and Francis Inc, US, 2006
Serie: Libro 16 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Da: Rarewaves.com UK, London, Regno UnitoRarewaves.com UK
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Hardback. Condizione: 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.
Lingua: Inglese
Editore: Taylor & Francis Inc, 2006
Serie: Libro 16 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Hardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Lingua: Inglese
Editore: CRC Press, 2006
Serie: Libro 16 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Gebunden. Condizione: 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 so…lution of inference problems has increased b.
Lingua: Inglese
Editore: Chapman and Hall/CRC, 2006
Serie: Libro 16 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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HRD. 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.
Lingua: Inglese
Editore: Chapman And Hall/CRC Mai 2006, 2006
Serie: Libro 16 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 342 pp. Englisch.
Lingua: Inglese
Editore: Chapman And Hall/CRC, 2006
Serie: Libro 16 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Incor…porating 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.
