Teddy Seidenfeld

Teddy Seidenfeld is the Herbert A. Simon University Professor of Philosophy and Statistics at Carnegie Mellon University, affiliated with the Dietrich College of Humanities and Social Sciences across its Department of Philosophy and Department of Statistics & Data Science. His work bridges philosophy and statistics, focusing on foundational problems involving multiple decision-makers and non-Bayesian approaches.

• Research Interests
• Coherent choice-functions under imprecise probabilities
• Dilation phenomena in Bayesian updating
• Finitely additive expectations for unbounded variables
• Scoring rules and probabilistic forecasts
• Relaxing Bayesian norms for group decision-making

Collaborations with scholars like M.J. Schervish, J.B. Kadane, and Larry Wasserman underpin his contributions to understanding uncertainty, incoherence, and cooperative decision models. His research challenges strict Bayesian frameworks, particularly in collective rationality and short-run updating anomalies.