| 書(shū)目名稱(chēng) | Practical Nonparametric and Semiparametric Bayesian Statistics |
| 編輯 | Dipak Dey,Peter Müller,Debajyoti Sinha |
| 視頻video | http://file.papertrans.cn/754/753166/753166.mp4 |
| 叢書(shū)名稱(chēng) | Lecture Notes in Statistics |
| 圖書(shū)封面 |  |
| 描述 | A compilation of original articles by Bayesian experts, this volume presents perspectives on recent developments on nonparametric and semiparametric methods in Bayesian statistics. The articles discuss how to conceptualize and develop Bayesian models using rich classes of nonparametric and semiparametric methods, how to use modern computational tools to summarize inferences, and how to apply these methodologies through the analysis of case studies. |
| 出版日期 | Book 1998 |
| 關(guān)鍵詞 | Survival analysis; bayesian statistics; linear optimization; neural networks; statistics |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4612-1732-9 |
| isbn_softcover | 978-0-387-98517-6 |
| isbn_ebook | 978-1-4612-1732-9Series ISSN 0930-0325 Series E-ISSN 2197-7186 |
| issn_series | 0930-0325 |
| copyright | Springer Science+Business Media New York 1998 |
|Archiver|手機(jī)版|小黑屋|
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