| 書目名稱 | Case Studies in Bayesian Statistics |
| 編輯 | Constantine Gatsonis,James S. Hodges,Nozer D. Sing |
| 視頻video | http://file.papertrans.cn/223/222242/222242.mp4 |
| 叢書名稱 | Lecture Notes in Statistics |
| 圖書封面 |  |
| 描述 | The past few years have witnessed dramatic advances in computational methods for Bayesian inference. As a result, Bayesian approaches to solving a wide variety of problems in data analysis and decision-making have become feasible, and there is currently a growth spurt in the application of Bayesian methods. The purpose of this volume is to present several detailed examples of applications of Bayesian thinking, with an emphasis on the scientific or technological context of the problem being solved. The papers collected here were presented and discussed at a Workshop held at Carnegie-Mellon University, September 29 through October 1, 1991. There are five ma- jor articles, each with two discussion pieces and a reply. These articles were invited by us following a public solicitation of abstracts. The problems they address are diverse, but all bear on policy decision-making. Though not part of our original design for the Workshop, that commonality of theme does emphasize the usefulness of Bayesian meth- ods in this arena. Along with the invited papers were several additional commentaries of a general nature; the first comment was invited and the remainder grew out of the discussion at t |
| 出版日期 | Conference proceedings 1993 |
| 關鍵詞 | bayesian statistics; data analysis; statistics |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4612-2714-4 |
| isbn_softcover | 978-0-387-94043-4 |
| isbn_ebook | 978-1-4612-2714-4Series ISSN 0930-0325 Series E-ISSN 2197-7186 |
| issn_series | 0930-0325 |
| copyright | Springer-Verlag New York, Inc. 1993 |
|Archiver|手機版|小黑屋|
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