Bayesian and Frequentist Regression Methods

Download or Read eBook Bayesian and Frequentist Regression Methods PDF written by Jon Wakefield and published by Springer Science & Business Media. This book was released on 2013-01-04 with total page 700 pages. Available in PDF, EPUB and Kindle.
Bayesian and Frequentist Regression Methods
Author :
Publisher : Springer Science & Business Media
Total Pages : 700
Release :
ISBN-10 : 9781441909251
ISBN-13 : 1441909257
Rating : 4/5 (51 Downloads)

Book Synopsis Bayesian and Frequentist Regression Methods by : Jon Wakefield

Book excerpt: Bayesian and Frequentist Regression Methods provides a modern account of both Bayesian and frequentist methods of regression analysis. Many texts cover one or the other of the approaches, but this is the most comprehensive combination of Bayesian and frequentist methods that exists in one place. The two philosophical approaches to regression methodology are featured here as complementary techniques, with theory and data analysis providing supplementary components of the discussion. In particular, methods are illustrated using a variety of data sets. The majority of the data sets are drawn from biostatistics but the techniques are generalizable to a wide range of other disciplines.


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