Case Studies in Bayesian Statistics: 83 (Lecture Notes in Statistics) - Softcover

Softcover

ISBN 10: 038794043X ISBN 13: 9780387940434

Verlag: Springer, 1993

Über diesen Titel

Reseña del editor:

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 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.

Reseña del editor:

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. The purpose of this volume is to present several detailed examples of applications of Bayesian methods. The emphasis of each article is on the scientific or technological context of the problem being solved, and much background material is provided to complete the description of the analysis. This collection illustrates the ways in which Bayesian methods are permeating statistical practice. Noteworthy in the articles are the construction of explicit and conceptually simple models, the use of information other than the data under analysis, and the representation of uncertainty from various sources in the model. Consequently, many researchers will find this collection an illuminating survey of Bayesian methods in practice, and both lecturers and students will be able to learn a great deal through study of these examples.

Über diese Auflage

• Verlag: Springer
• Erscheinungsdatum: 1993
• ISBN 10: 038794043X
• ISBN 13: 9780387940434
• Einband: Tapa blanda
• Anzahl der Seiten: 458
• Herausgeber: Gatsonis Constantine, Hodges James S., Kass Robert E.