Rethinking the Foundations of Statistics

Cambridge University Press (1999)
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Abstract

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.

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Teddy Seidenfeld
Carnegie Mellon University

Citations of this work

Imprecise Probabilities.Seamus Bradley - 2019 - Stanford Encyclopedia of Philosophy.
It All Adds Up: The Dynamic Coherence of Radical Probabilism.S. L. Zabell - 2002 - Proceedings of the Philosophy of Science Association 2002 (3):S98-S103.
It All Adds Up: The Dynamic Coherence of Radical Probabilism.S. L. Zabell - 2002 - Philosophy of Science 69 (S3):S98-S103.

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