Verwandte Artikel zu Markov Chain Monte Carlo: Stochastic Simulation for...
Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference, Second Edition: 68 (Chapman & Hall/CRC Texts in Statistical Science) - Hardcover
Inhaltsangabe
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.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Über die Autorin bzw. den Autor
Dani Gamerman, Hedibert F. Lopes
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Neu kaufen
Diesen Artikel anzeigen
EUR 52,33
EUR 33,89 für den Versand von USA nach Deutschland
Versandziele, Kosten & Dauer
Suchergebnisse für Markov Chain Monte Carlo: Stochastic Simulation for...
Beispielbild für diese ISBN
MARKOV CHAIN MONTE CARLO : STOCHASTIC SIMULATION FOR BAYESIAN INFERENCE (TEXTS IN STATISTICAL SCIENCE)
Verlag:
Chapman & Hall/CRC, Boca Raton, 2006
ISBN 10: 1584885874
ISBN 13: 9781584885870
Gebraucht
Hardcover
Anbieter: Second Story Books, ABAA, Rockville, MD, USA
Verkäuferbewertung 4 von 5 Sternen
Hardcover. Second edition. Octavo, xvii, 323 pages. In Very Good condition. Spine is black with white print. Boards in red glossy illustrated paper. Illustrated: b&w graphs, figures. NOTE: Shelved in Netdesk Column P. 1395209. FP New Rockville Stock. Bestandsnummer des Verkäufers 1395209
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Markov Chain Monte Carlo (Chapman & Hall/CRC Texts in Statistical Science)
Anbieter: Reader's Corner, Inc., Raleigh, NC, USA
Verkäuferbewertung 5 von 5 Sternen
Hardcover. Zustand: New. 2nd Edition. This is a new hardcover second edition, first printing copy, no DJ, black spine, 323 pages with index. Bestandsnummer des Verkäufers 104434
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Markov Chain Monte Carlo (Chapman & Hall/CRC Texts in Statistical Science)
Anbieter: Griffin Books, Stamford, CT, USA
Verkäuferbewertung 5 von 5 Sternen
hardcover. Zustand: New. Brand new gift quality hardcover Please email for photos. Larger books or sets may require additional shipping charges. Books sent via US Postal. Bestandsnummer des Verkäufers 126444
Anzahl: 1 verfügbar
Foto des Verkäufers
Gamerman, D: Markov Chain Monte Carlo
Print-on-DemandAnbieter: moluna, Greven, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Zustand: 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. Bestandsnummer des Verkäufers 596345063
Anzahl: Mehr als 20 verfügbar
Foto des Verkäufers
Markov Chain Monte Carlo
Print-on-DemandAnbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Buch. Zustand: 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. Bestandsnummer des Verkäufers 9781584885870
Anzahl: 2 verfügbar
Beispielbild für diese ISBN
Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference, Second Edition
Anbieter: THE SAINT BOOKSTORE, Southport, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Hardback. Zustand: New. New copy - Usually dispatched within 4 working days. 634. Bestandsnummer des Verkäufers B9781584885870
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Markov Chain Monte Carlo (Chapman & Hall/CRC Texts in Statistical Science)
Anbieter: Treasure Island, Waltham, MA, USA
Verkäuferbewertung 5 von 5 Sternen
hardcover. Zustand: New. Bestandsnummer des Verkäufers mon0000000963
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Markov Chain Monte Carlo (Chapman & Hall/CRC Texts in Statistical Science)
Anbieter: BennettBooksLtd, North Las Vegas, NV, USA
Verkäuferbewertung 5 von 5 Sternen
hardcover. Zustand: New. In shrink wrap. Looks like an interesting title! Bestandsnummer des Verkäufers Q-1584885874
Anzahl: 1 verfügbar
Foto des Verkäufers
Markov Chain Monte Carlo : Stochastic Simulation for Bayesian Inference, Second Edition
Print-on-DemandAnbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Buch. Zustand: 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. 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. Bestandsnummer des Verkäufers 9781584885870
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Markov Chain Monte Carlo
Anbieter: Books Puddle, New York, NY, USA
Verkäuferbewertung 4 von 5 Sternen
Zustand: New. pp. 342. Bestandsnummer des Verkäufers 26624297
Anzahl: 4 verfügbar