Bayesian Modeling Using WinBUGS
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:
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.
What people are saying - Write a review
Bayesian modeling using WinBUGSUser Review - patrickaz - Overstock.com
Great book for anyone looking to implement Bayesian modeling using the WinBUGS tool. Lots of examples for the specific tool being used are always very helpful. Read full review
MARKOV CHAINMONTE CARLO ALGORITHMS
MISSING OBSERVATIONS USING MCMC
WinBUGS SOFTWARE INTRODUCTION SETUP
WinBUGSSOFTWARE ILLUSTRATION RESULTSAND
INTRODUCTION TO BAYESIAN MODELS NORMAL
SIMPLE MODEL 4 2 FURTHER OUTPUT ANALYSIS USING THE INFERENCE MENU 4 3 MULTIPLE CHAINS
INCORPORATING CATEGORICAL VARIABLES IN NORMAL MODELSAND FURTHER MODELING ISSUES
BAYESIAN MODELAND VARIABLE EVALUATION
INTRODUCTION TOGENERALIZED LINEAR MODELS