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.

Informazioni sull?autore:

Dani Gamerman, Hedibert F. Lopes

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Descrizione libreria

ThriftBooks is a fully independent seller of used books, having sold more than 160 million used and new books since we started in 2003. Each quality used book is sorted, graded, shelved and shipped by hand by our team of dedicated employees in our seven warehouses across the US. We have the best selection of books, in the right condition and format, at everyday low prices. We also have a dedicated, US-based Customer Service team, ranked in the top three by Newsweek for Best Customer Service in 2018 and 2019, so you can shop with confidence. We support and invest in our employees, appreciate and value our customers, and truly believe in the power of the written word to educate, energize, and engage readers of all ages and interests.

Visita la pagina della libreria

Informazioni sull?azienda del venditore

Thrift Books Global, LLC
18300 Cascade Ave S, Ste 150, Seattle, WA, 98188, U.S.A.

Condizioni di vendita:

We guarantee the condition of every book as it's described
on the Abebooks website. If you're dissatisfied with your
purchase (Incorrect Book/Not as Described/Damaged) or if the
order hasn't arrived, you're eligible for a refund within 30
days of the estimated delivery date. If you've changed your
mind about a book that you've ordered, please use the "Ask
bookseller a question link to contact us" and we'll respond
as soon as possible.

Condizioni di spedizione:

All domestic Standard and Expedited shipments are distributed from our warehouses by OSM, then handed off to the USPS for final delivery.

2-Day Shipping is delivered by FedEx, which does not deliver to PO boxes.

International shipments are tendered to the local postal service in the destination country for final delivery – we do not use courier services for international deliveries.

Metodi di pagamento
accettati dalla libreria

Aggiungi ai desiderata

Articoli correlati a Markov Chain Monte Carlo: Stochastic Simulation for...

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

Gamerman, Dani; Freita Lopes, Hedibert; Lopes, Hedibert F.

Usato - Rilegato

Informazioni sull?azienda del venditore