Bayesian and Frequentist Regression Methods - Info and Reading Options

The Open Library:

<i>Bayesian and Frequentist Regression Methods</i> 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. While the philosophy behind each approach is discussed, the book is not ideological in nature and an emphasis is placed on practical application. It is shown that, in many situations, careful application of the respective approaches can lead to broadly similar conclusions. To use this text, the reader requires a basic understanding of calculus and linear algebra, and introductory courses in probability and statistical theory. The book is based on the author's experience teaching a graduate sequence in regression methods. The book website contains all of the code to reproduce all of the analyses and figures contained in the book.<br>

Search for “Bayesian and Frequentist Regression Methods” downloads:

Visit our Downloads Search page to see if downloads are available.

Find “Bayesian and Frequentist Regression Methods” in Libraries Near You:

Read or borrow “Bayesian and Frequentist Regression Methods” from your local library.

• The WorldCat Libraries Catalog: Find a copy of “Bayesian and Frequentist Regression Methods” at a library near you.