Bayesian Modeling Using WinBUGS

Ioannis Ntzoufras author

Format:Hardback

Publisher:John Wiley & Sons Inc

Published:10th Mar '09

Currently unavailable, and unfortunately no date known when it will be back

Bayesian Modeling Using WinBUGS cover

A hands-on introduction to the principles of Bayesian modeling using WinBUGS

Bayesian Modeling Using WinBUGS provides an easily accessible introduction to the use of WinBUGS programming techniques in a variety of Bayesian modeling settings. The author provides an accessible treatment of the topic, offering readers a smooth introduction to the principles of Bayesian modeling with detailed guidance on the practical implementation of key principles.

The book begins with a basic introduction to Bayesian inference and the WinBUGS software and goes on to cover key topics, including:

  • Markov Chain Monte Carlo algorithms in Bayesian inference

  • Generalized linear models

  • Bayesian hierarchical models

  • Predictive distribution and model checking

  • Bayesian model and variable evaluation

Computational notes and screen captures illustrate the use of both WinBUGS as well as R software to apply the discussed techniques. Exercises at the end of each chapter allow readers to test their understanding of the presented concepts and all data sets and code are available on the book's related Web site.

Requiring only a working knowledge of probability theory and statistics, Bayesian Modeling Using WinBUGS serves as an excellent book for courses on Bayesian statistics at the upper-undergraduate and graduate levels. It is also a valuable reference for researchers and practitioners in the fields of statistics, actuarial science, medicine, and the social sciences who use WinBUGS in their everyday work.

ISBN: 9780470141144

Dimensions: 244mm x 165mm x 32mm

Weight: 816g

520 pages