Bayesian and Frequentist Regression Methods

Nonfiction, Science & Nature, Mathematics, Statistics
Cover of the book Bayesian and Frequentist Regression Methods by Jon Wakefield, Springer New York
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Author: Jon Wakefield ISBN: 9781441909251
Publisher: Springer New York Publication: January 4, 2013
Imprint: Springer Language: English
Author: Jon Wakefield
ISBN: 9781441909251
Publisher: Springer New York
Publication: January 4, 2013
Imprint: Springer
Language: English

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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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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