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[Springer Series in Statistics] Bayesian and Frequentist Regression Methods || Matrix Results

✍ Scribed by Wakefield, Jon

Book ID
120052671
Publisher
Springer New York
Year
2012
Tongue
English
Weight
84 KB
Edition
2013
Category
Article
ISBN
1441909257

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✦ Synopsis

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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