第8章 用winbug实现bayes approach for SEM
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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 author’s best selling book, Bayesian Statistical Modelling,and focuses on the potential applications of Bayesian techniques in awide range of important topics in the social and health sciences. Theapplications are illustrated through many real-life examples andsoftware implementation in WINBUGS – a popular software package thatoffers a simplified and flexible approach to statistical modelling. Thebook gives detailed explanations for each example – explaining fullythe 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.
· Covers many application areas, including panel data models,structural equation and other multivariate structure models, spatialanalysis, survival analysis and epidemiology.
· Provides detailed worked examples in WINBUGS to illustratethe practical application of the techniques described. All WINBUGSprograms are available from an ftp site.

The book provides a good introduction to Bayesian modelling and dataanalysis for a wide range of people involved in applied statisticalanalysis, including researchers and students from statistics, and thehealth and social sciences. The wealth of examples makes this book anideal reference for anyone involved in statistical modelling andanalysis.