| 书目名称 | Frontiers of Statistical Decision Making and Bayesian Analysis | | 副标题 | In Honor of James O. | | 编辑 | Ming-Hui Chen,Peter Müller,Dipak K. Dey | | 视频video | | | 概述 | A concise update on the topics which are the currently most active areas of Bayesian research.Written by the experts and the very contributors to this research.Makes diverse research areas accessible | | 图书封面 |  | | 描述 | Research in Bayesian analysis and statistical decision theory is rapidly expanding and diversifying, making it increasingly more difficult for any single researcher to stay up to date on all current research frontiers. This book provides a review of current research challenges and opportunities. While the book can not exhaustively cover all current research areas, it does include some exemplary discussion of most research frontiers. Topics include objective Bayesian inference, shrinkage estimation and other decision based estimation, model selection and testing, nonparametric Bayes, the interface of Bayesian and frequentist inference, data mining and machine learning, methods for categorical and spatio-temporal data analysis and posterior simulation methods. Several major application areas are covered: computer models, Bayesian clinical trial design, epidemiology, phylogenetics, bioinformatics, climate modeling and applications in political science, finance and marketing. As a review of current research in Bayesian analysis the book presents a balance between theory and applications. The lack of a clear demarcation between theoretical and applied research is a reflection of the hig | | 出版日期 | Book 2010 | | 关键词 | Biostatistics; Computer simulation; Decision problems; Monte Carlo method; Objective Bayesian inference; | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4419-6944-6 | | isbn_softcover | 978-1-4899-9201-7 | | isbn_ebook | 978-1-4419-6944-6 | | copyright | Springer Science+Business Media 2010 |
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发表于 2025-3-21 19:16:14
