Dr. Teddy Seidenfeld

Biography

Teddy Seidenfeld is the Herbert Simon University Professor of Philosophy and Statistics at Carnegie Mellon University. He works on the foundations and interface between philosophy and statistics, focusing on problems that involve multiple decision makers. He has collaborated with M.J. Schervish, J.B. Kadane, and Larry Wasserman, all from the Statistics Department at CMU. His current research includes the theory of indexing degree of incoherence in non-Bayesian statistical decisions and the representation of coherent choice-functions using sets of probabilities. He investigates scoring rules for probabilistic forecasts and develops finitely additive expectations for unbounded random variables. His work contrasts with strict Bayesian theory, demonstrating the benefits of relaxing norms to allow individuals acting as separate decision makers to collaborate as a cooperative group. Seidenfeld has also examined the implications of shared Bayesian opinions, focusing on how new evidence can increase uncertainty among experts in situations of common interest.

Research Interests