Bayesian Modeling Using WinBUGS by Ioannis Ntzoufras
Bayesian Modeling Using WinBUGS by Ioannis Ntzoufras
English | Feb 3, 2009 | ISBN: 047014114X | 506 Pages | PDF | 26 MB
English | Feb 3, 2009 | ISBN: 047014114X | 506 Pages | PDF | 26 MB
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