Markov Chain Monte Carlo
Stochastic Simulation for Bayesian Inference 2nd Revised edition
Normal Price: $158.00
Your Price: $142.20 AUD, inc. GST
Shipping: $7.95 per order
You Save: $15.80! (10% off normal price)
Plus...earn $7.11 in Boomerang Bucks
Availability: Available, ships in 7-10 days
Markov Chain Monte Carlo by Dani Gamerman
Book DescriptionWhile 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.
Buy Markov Chain Monte Carlo book by Dani Gamerman from Australia's Online Bookstore, Boomerang Books.
Book DetailsISBN: 9781584885870
(234mm x 156mm x 23mm)
Imprint: Chapman & Hall/CRC
Publisher: Taylor & Francis Inc
Publish Date: 10-May-2006
Country of Publication: United States
Books By Author Dani Gamerman
» Have you read this book? We'd like to know what you think about it - write a review about Markov Chain Monte Carlo book by Dani Gamerman and you'll earn 50c in Boomerang Bucks loyalty dollars (you must be a member - it's free to sign up!)
Bestselling Books: Our Current Bestsellers | Australia's Hottest 1000 Books | Bestselling Fiction | Bestselling Crime Mysteries and Thrillers | Bestselling Non Fiction Books | Bestselling Sport Books | Bestselling Gardening and Handicrafts Books | Bestselling Biographies | Bestselling Food and Drink | Bestselling History | Bestselling Travel Books | Bestselling School Textbooks & Study Guides | Bestselling Children's General Non-Fiction | Bestselling Young Adult Fiction | Bestselling Children's Fiction | Bestselling Picture Books | Top 100 US Bestsellers
Phone: 1300 36 33 32 (9am-5pm Mon-Fri AEST) - International: +61 2 9960 7998 - Online Form
Address: Boomerang Books, 878 Military Road, Mosman Junction, NSW, 2088
© 2003-2017. All Rights Reserved. Eclipse Commerce Pty Ltd - ACN: 122 110 687 - ABN: 49 122 110 687
For every $20 you spend on books, you will receive $1 in Boomerang Bucks loyalty dollars. You can use your Boomerang Bucks as a credit towards a future purchase from Boomerang Books. Note that you must be a Member (free to sign up) and that conditions do apply.