Bayesian and Frequentist Regression Methods
Author | : Jon Wakefield |
Publisher | : Springer Science & Business Media |
Total Pages | : 700 |
Release | : 2013-01-04 |
ISBN-10 | : 9781441909251 |
ISBN-13 | : 1441909257 |
Rating | : 4/5 (51 Downloads) |
Download or read book Bayesian and Frequentist Regression Methods 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. 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.