Reflections on the foundations of probability and statistics : essays in honor of Teddy Seidenfeld
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Bibliographic Information
Reflections on the foundations of probability and statistics : essays in honor of Teddy Seidenfeld
（Theory and decision library, ser. A . Rational choice in practical philosophy and philosophy of sciences ; v. 54）
Springer, c2022
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Includes bibliographical references
Description and Table of Contents
Description
This Festschrift celebrates Teddy Seidenfeld and his seminal contributions to philosophy, statistics, probability, game theory and related areas. The 13 contributions in this volume, written by leading researchers in these fields, are supplemented by an interview with Teddy Seidenfeld that offers an abbreviated intellectual autobiography, touching on topics of timeless interest concerning truth and uncertainty. Indeed, as the eminent philosopher Isaac Levi writes in this volume: "In a world dominated by Alternative Facts and Fake News, it is hard to believe that many of us have spent our life's work, as has Teddy Seidenfeld, in discussing truth and uncertainty." The reader is invited to share this celebration of Teddy Seidenfeld's work uncovering truths about uncertainty and the penetrating insights they offer to our common pursuit of truth in the face of uncertainty.
Table of Contents
An Interview with Teddy Seidenfeld.- The Value Provided by a Scientific Explanation.- A Gentle Approach to Imprecise Probability.- Foundations For Temporal Reasoning Using Lower Previsions Without A Possibility Space.- On the Equivalence of Normal and Extensive Form Representations of Games.- Dilation and Informativeness.- Playing with Sets of Lexicographic Probabilities and Sets of Desirable Gambles.- How to Assess Coherent Beliefs: A Comparison of Different Notions of Coherence in Dempster-Shafer Theory of Evidence.- Expected Utility in 3D.- On the Normative Status of Mixed Strategies.- On a Notion of Independence Proposed by Teddy Seidenfeld.- Coherent Choice Functions without Archimedeanity.- Quantifying Degrees of E-admissibility in Decision Making with Imprecise Probabilities.
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