Bayesian and Frequentist Regression Methods

是 否 +2 论坛币

k人 参与回答

经管之家送您一份

应届毕业生专属福利!

求职就业群

赵安豆老师微信：zhaoandou666

经管之家联合CDA

送您一个全额奖学金名额~ !

立即领取

感谢您参与论坛问题回答

经管之家送您两个论坛币！

+2 论坛币

Springer Series in Statistics
2013
Bayesian and Frequentist Regression MethodsAuthors:

• Jon Wakefield
• …show all 1hide
  

ISBN: 978-1-4419-0924-4 (Print) 978-1-4419-0925-1  (Online)



Series: Springer Series in Statistics

Wakefield, Jon

2013, XIX, 697 p. 140 illus., 6 in color.


About this textbook

• Provides a balanced, modern summary of Bayesian and frequentist methods for regression analysis
•                                         A book website contains R code to reproduce all of the analyses and figures in the book
  

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. 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.

Table of contents Introduction.- Frequentist Inference.- Bayesian Inference.- Linear Models.- Binary Data Models.- General Regression Models.

• Authors & Editors
  

Jon Wakefield is Professor in the Departments of Statistics and Biostatistics at the University of Washington. His interests lie in biostatistics, epidemiology and genetics and in links between frequentist and Bayesian methods. His work has been published extensively. He received his PhD from the University of Nottingham, and his honors include the Guy Medal in Bronze from the Royal Statistical Society, and he is a Fellow of the American Statistical Association. He has previously been the Chair of the Department of Statistics at the University of Washington.

Bayesian and Frequentist Regression Methods(2).pdf (8.59 MB, 需要: 4 个论坛币)

2013-3-28 21:03:29 上传

Bayesian and Frequentist Regression Methods.pdf
需要: 4 个论坛币  [购买]

扫码加我 拉你入群

请注明：姓名-公司-职位

以便审核进群资格，未注明则拒绝

分享0 收藏10 回帖

关键词：Frequentist regression regressio Bayesian FREQUENT all website methods Series Online

好东西！

thanks for your sharing, xie xie.

thanks for shairng.

many thanks for your share