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.

�ber die Autorin bzw. den Autor:

Dani Gamerman, Hedibert F. Lopes

��ber diesen Titel� kann sich auf eine andere Ausgabe dieses Titels beziehen.

Anbieterinformationen

The Saint Bookstore has a range of over 1 million titles available.

Zur Homepage des Verk�ufers

Unternehmensdaten des Verk�ufers

SB ONLINE LTD
50 Devonshire Road, Southport, PR9 7BZ, United Kingdom

Gesch�ftsbedingungen:

Please order through the Abebooks checkout. We only take orders through Abebooks - We don't take direct orders by email or phone.

Refunds or Returns: A full refund of the purchase price will be given if returned within 30 days in undamaged condition.

As a seller on abebooks we adhere to the terms explained at http://www.abebooks.co.uk/docs/HelpCentral/buyerIndex.shtml - if you require further assistance please email us at orders@thesaintbookstore.co.uk

Versandinformationen:

Most orders usually ship within 1-3 business days, but some can take up to 7 days.

Zahlungsarten
akzeptiert von diesem Verk�ufer

Zu Kaufgesuchen hinzuf�gen

Verwandte Artikel zu Markov Chain Monte Carlo: Stochastic Simulation for...

Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference, Second Edition

Dani Gamerman

Neu - Hardcover

Unternehmensdaten des Verk�ufers