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Current Trends in Bayesian Methodology with Applications 第1 版
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Current Trends in Bayesian Methodology with Applications
Collecting Bayesian material scattered throughout the literature, Current Trends in Bayesian Methodology with Applications examines the latest methodological and applied aspects of Bayesian statistics. The book covers biostatistics, econometrics, reliability and risk analysis, spatial statistics, image analysis, shape analysis, Bayesian computation, clustering, uncertainty assessment, high-energy astrophysics, neural networking, fuzzy information, objective Bayesian methodologies, empirical Bayes methods, small area estimation, and many more topics.
Each chapter is self-contained and focuses on a Bayesian methodology. It gives an overview of the area, presents theoretical insights, and emphasizes applications through motivating examples.
This book reflects the diversity of Bayesian analysis, from novel Bayesian methodology, such as nonignorable response and factor analysis, to state-of-the-art applications in economics, astrophysics, biomedicine, oceanography, and other areas. It guides readers in using Bayesian techniques for a range of statistical analyses.
680 pages
| メディア | 書籍 Paperback Book (ソフトカバーで背表紙を接着した本) |
| リリース済み | 2019年10月7日 |
| ISBN13 | 9780367377625 |
| 出版社 | Taylor & Francis Ltd |
| ページ数 | 680 |
| 寸法 | 150 × 220 × 10 mm · 453 g |
| 言語 | 英語 |
| 編集者 | Dey, Dipak K. |
| 編集者 | Loganathan, Appaia |
| 編集者 | Singh, Umesh |
| 編集者 | Upadhyay, Satyanshu K. |
