Incorporating new and updated information, this second edition of THE bestselling text in Bayesian data analysis continues to emphasize practice over theory, describing how to conceptualize, perform, and critique statistical analyses from a Bayesian perspective. Its world-class authors provide guidance on...
ISBN:9781439840955 豆瓣评分 9.0 57人评价 5星 61.4% 4星 29.8% 3星 7.0% 2星 1.8% 1星 0.0% 评价: 写笔记 写书评 加入购书单 分享到 推荐 内容简介· ··· This third edition of a classic textbook presents a comprehensive introduction to Bayesian data analysis. Written for students and researche...
Reviews the book "Bayesian Data Analysis," 2nd ed., by Andrew Gelman, John B. Carlin, Hal S. Stern and Donald B. Rubin.GregoUniversity of South CarolinaJohnUniversity of South CarolinaTechnometricsBayesian data analysis, 2nd ed. Boca - Gelman, Carlin, et al. - 2004 () Citation Context ....
(2011). Bayesian Ideas and Data Analysis: An Introduction for Scientists and Statisticians, CRC Press. URL: http://www.ics.uci.edu/ wjohnson/BIDA/BIDABook.htmlChristensen R , Johnson WO , Branscum AJ , Hanson TE . 2011 . Bayesian ideas and data analysis: an introduction for scientists ...
Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan, Second Edition provides an accessible approach for conducting Bayesian data analysis, as material is explained clea ... read full description Purchase book Share this bookBrowse...
Bayesian Ideas and Data Analysis—an Introduction for Scientists and Statisticians by R. Christensen; W. Johnson; A. Branscum; T. E. Hanson If you think that a Bayesian approach to statistical analysis is nice in principle but too complicated in practice, this book may change your mind. The...
and metric-predicted variable with multiple nominal predictors. the exercises found in the text have explicit purposes and guidelines for accomplishment. this book is intended for first-year graduate students or advanced undergraduates in statistics, data analysis, psychology, cognitive science, social sci...
mixturemodels,hierarchicalmodels,andGaussianprocesses,amongothers.Bytheendofthebook,youwillhaveaworkingknowledgeofprobabilisticmodelingandyouwillbeabletodesignandimplementBayesianmodelsforyourowndatascienceproblems.Afterreadingthebookyouwillbebetterpreparedtodelveintomoreadvancedmaterialorspecializedstatisticalmodelingifyou...
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Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and STAN examines the Bayesian and frequentist methods of conducting data analyses. The book provides the theoretical background in an easy-to-understand approach, encouraging readers to examine the processes that generated their data...