Applied Bayesian Modelling
By (author) Peter Congdon
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Applied Bayesian Modelling by Peter Congdon
Book DescriptionThe 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 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. * Covers many application areas, including panel data models, structural equation and other multivariate structure models, spatial analysis, survival analysis and epidemiology. * Provides detailed worked examples in WINBUGS to illustrate the practical application of the techniques described. All WINBUGS programs are available from an ftp site. The book provides a good introduction to Bayesian modelling and data analysis for a wide range of people involved in applied statistical analysis, including researchers and students from statistics, and the health and social sciences. The wealth of examples makes this book an ideal reference for anyone involved in statistical modelling and analysis.
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Book DetailsISBN: 9780471486954
(255mm x 178mm x 32mm)
Imprint: John Wiley & Sons Ltd
Publisher: John Wiley and Sons Ltd
Publish Date: 11-Mar-2003
Country of Publication: United Kingdom
Books By Author Peter Congdon
Applied Bayesian Modelling, Hardback (July 2014)
This book provides an accessible approach to Bayesian computing and data analysis, with an emphasis on the interpretation of real data sets.
Bayesian Statistical Modelling, Hardback (November 2006)
Bayesian Statistical Modelling, Second Edition, provides an accessible approach to Bayesian computing and data analysis, with an emphasis on the interpretation of real data sets.
Bayesian Models for Categorical Data, Hardback (May 2005)» View all books by Peter Congdon
The use of Bayesian methods for the analysis of data has grown substantially in areas as diverse as applied statistics, psychology, economics and medical science. Bayesian Methods for Categorical Data sets out to demystify modern Bayesian methods, making them accessible to students and researchers alike.
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