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Applied Bayesian Modelling |
| Peter Congdon (London Research Centre) |
| The use of Bayesian statistics has grown significantly in recent years, and will undoubtedly continue to do so. Applied Bayesian Modelling is the follow-up to the authorÂs best selling book, Bayesian Statistical Modelling, and focuses on the potential applications of Bayesian techniques in a wide range of important topics in the social and health sciences. The applications are illustrated through many real-life examples and software implementation in WINBUGS  a popular software package that offers a simplified and flexible approach to statistical modelling. The book gives detailed explanations for each example  explaining fully the choice of model for each particular problem. The book · Provides a broad and comprehensive account of applied Bayesian modelling.
· Describes a variety of model assessment methods and the flexibility of Bayesian prior specifications.
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