Bayesian Modeling Using WinBUGS
A hands-on introduction to the principles of Bayesian modelingusing WinBUGS
Bayesian Modeling Using WinBUGS provides an easilyaccessible introduction to the use of WinBUGS programmingtechniques in a variety of Bayesian modeling settings. The authorprovides an accessible treatment of the topic, offering readers asmooth introduction to the principles of Bayesian modeling withdetailed guidance on the practical implementation of keyprinciples.
The book begins with a basic introduction to Bayesian inferenceand the WinBUGS software and goes on to cover key topics,including:
Computational notes and screen captures illustrate the use ofboth WinBUGS as well as R software to apply the discussedtechniques. Exercises at the end of each chapter allow readers totest their understanding of the presented concepts and all datasets and code are available on the book's related Web site.
Requiring only a working knowledge of probability theory andstatistics, Bayesian Modeling Using WinBUGS serves as anexcellent book for courses on Bayesian statistics at theupper-undergraduate and graduate levels. It is also a valuablereference for researchers and practitioners in the fields ofstatistics, actuarial science, medicine, and the social scienceswho 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