Applied Bayesian Statistics With R and OpenBUGS Examples

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Applied Bayesian Statistics: With R and OpenBUGS Examples Mary Kathryn Cowles

• Practical approach is good for students of all levels
• Based on over 12 years teaching Bayesian Statistics
• R and OpenBUGS are essential to modern Bayesian applications
  

This book is based on over a dozen years teaching a Bayesian Statistics course. The material presented here has been used by students of different levels and disciplines, including advanced undergraduates studying Mathematics and Statistics and students in graduate programs  in Statistics, Biostatistics, Engineering, Economics, Marketing, Pharmacy, and Psychology. The goal of the book is to impart the basics of designing and carrying out Bayesian analyses, and interpreting and communicating the results.  In addition, readers will learn to use the predominant software for Bayesian model-fitting, R and OpenBUGS. The practical approach this book takes will help students of all levels to build understanding of the concepts and procedures required to answer real questions by performing Bayesian analysis of real data. Topics covered include comparing and contrasting Bayesian and classical methods, specifying hierarchical models, and assessing Markov chain Monte Carlo output.

Mary Kathryn (Kate) Cowles taught Suzuki piano for many years before going to graduate school in Biostatistics.  Her research areas are Bayesian and computational statistics, with application to environmental science.  She is on the faculty of Statistics at The University of Iowa.

Product Details Hardcover: 232 pages Publisher: Springer; 2013 edition (Jan. 3 2013) Language: English ISBN-10: 1461456959 ISBN-13: 978-1461456957 Product Dimensions: 23.4 x 16.3 x 2 cm Shipping Weight: 499 g

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关键词：Statistics statistic Bayesian Examples openbugs different essential including presented material

jscdclwd 发表于 2014-10-11 16:04
最新的贝叶斯应用统计经典教程，2013年出版，方法原理+实例+R及winbugs代码。

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jscdclwd 发表于 2014-10-11 16:04
最新的贝叶斯应用统计经典教程，2013年出版，方法原理+实例+R及winbugs代码。

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