Rethinking the Foundations of Statistics

Joseph B. Kadane, Mark J. Schervish, Teddy Seidenfeld

ISBN 10: 0521640113 / ISBN 13: 9780521640114

Published by Cambridge University Press, GB, 1999

About this Item

This important collection of essays is a synthesis of foundational studies in Bayesian decision theory and statistics. An overarching topic of the collection is understanding how the norms for Bayesian decision making should apply in settings with more than one rational decision maker and then tracing out some of the consequences of this turn for Bayesian statistics. There are four principal themes to the collection: cooperative, non-sequential decisions; the representation and measurement of 'partially ordered' preferences; non-cooperative, sequential decisions; and pooling rules and Bayesian dynamics for sets of probabilities. The volume will be particularly valuable to philosophers concerned with decision theory, probability, and statistics, statisticians, mathematicians, and economists.

Seller Inventory # LU-9780521640114

Bibliographic Details

• Title: Rethinking the Foundations of Statistics
• Publisher: Cambridge University Press, GB
• Publication Date: 1999
• Language: English
• ISBN 10: 0521640113
• ISBN 13: 9780521640114
• Binding: Hardback
• Condition: New
• Weight: 655 grams

About this title

Synopsis

This important collection of essays is a synthesis of foundational studies in Bayesian decision theory and statistics. An overarching topic of the collection is understanding how the norms for Bayesian decision making should apply in settings with more than one rational decision maker and then tracing out some of the consequences of this turn for Bayesian statistics. The volume will be particularly valuable to philosophers concerned with decision theory, probability, and statistics, statisticians, mathematicians, and economists.

Review

"The material is well presented, and the authors themselves have made significant contributions to this area...should greatly appeal to philosophers, advanced graduate students, and researchers interested in exploring and researching the foundations of Bayesian statistics." CHOICE