Case Studies in Bayesian Statistics

By Robert E. Kass Bradley Carlin Constantine Gatsonis

Due to many advances in computational methods for Bayesian inference, 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. Each contribution is written to present a complete picture of the problem under study, and hence they may be suitable for classroom use to present real-world examples of Bayesian analysis.

• Format: Paperback
• Language: English
• ISBN: 038794043X
• ISBN13: 9780387940434
• Release Date: June 1993
• Publisher: Springer
• Length: 437 Pages
• Weight: 1.40 lbs.
• Dimensions: 0.9" x 6.1" x 9.2"