Case Studies in Bayesian Statistics:
Gespeichert in:
| Weitere Verfasser: | , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Springer New York
1993
|
| Schriftenreihe: | Lecture Notes in Statistics
83 |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | 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 major 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 methods 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 the Workshop. In addition there are nine contributed papers, selected from the thirty-four presented at the Workshop, on a variety of applications. This collection of case studies illustrates the ways in which Bayesian methods are being incorporated into statistical practice. The strengths (and limitations) of the approach become apparent through the examples |
| Beschreibung: | 1 Online-Ressource (XIII, 437p) |
| ISBN: | 9781461227144 9780387940434 |
| ISSN: | 0930-0325 |
| DOI: | 10.1007/978-1-4612-2714-4 |
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| spelling | Case Studies in Bayesian Statistics edited by Constantine Gatsonis, James S. Hodges, Robert E. Kass, Nozer D. Singpurwalla New York, NY Springer New York 1993 1 Online-Ressource (XIII, 437p) txt rdacontent c rdamedia cr rdacarrier Lecture Notes in Statistics 83 0930-0325 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 major 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 methods 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 the Workshop. In addition there are nine contributed papers, selected from the thirty-four presented at the Workshop, on a variety of applications. This collection of case studies illustrates the ways in which Bayesian methods are being incorporated into statistical practice. The strengths (and limitations) of the approach become apparent through the examples Statistics Statistics, general Statistik Bayes-Entscheidungstheorie (DE-588)4144220-9 gnd rswk-swf 1\p (DE-588)1071861417 Konferenzschrift gnd-content Bayes-Entscheidungstheorie (DE-588)4144220-9 s 2\p DE-604 Gatsonis, Constantine edt Hodges, James S. edt Kass, Robert E. edt Singpurwalla, Nozer D. edt Lecture Notes in Statistics 83 (DE-604)BV036592911 83 https://doi.org/10.1007/978-1-4612-2714-4 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Case Studies in Bayesian Statistics Lecture Notes in Statistics Statistics Statistics, general Statistik Bayes-Entscheidungstheorie (DE-588)4144220-9 gnd |
| subject_GND | (DE-588)4144220-9 (DE-588)1071861417 |
| title | Case Studies in Bayesian Statistics |
| title_auth | Case Studies in Bayesian Statistics |
| title_exact_search | Case Studies in Bayesian Statistics |
| title_full | Case Studies in Bayesian Statistics edited by Constantine Gatsonis, James S. Hodges, Robert E. Kass, Nozer D. Singpurwalla |
| title_fullStr | Case Studies in Bayesian Statistics edited by Constantine Gatsonis, James S. Hodges, Robert E. Kass, Nozer D. Singpurwalla |
| title_full_unstemmed | Case Studies in Bayesian Statistics edited by Constantine Gatsonis, James S. Hodges, Robert E. Kass, Nozer D. Singpurwalla |
| title_short | Case Studies in Bayesian Statistics |
| title_sort | case studies in bayesian statistics |
| topic | Statistics Statistics, general Statistik Bayes-Entscheidungstheorie (DE-588)4144220-9 gnd |
| topic_facet | Statistics Statistics, general Statistik Bayes-Entscheidungstheorie Konferenzschrift |
| url | https://doi.org/10.1007/978-1-4612-2714-4 |
| volume_link | (DE-604)BV036592911 |
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