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Statistical Foundations of EITM

James Lo (University of Southern California)

June 24 - June 26

The basic motivation of EITM is that it pays to be more conscious and purposeful about how game theoretic models and statistical tests are connected. Unfortunately, game theory is often taught in a manner that submerges its relationship to testing, and statistical training typically begins with the hypothesis for testing having already been developed. The Foun- dations Seminar presents statistical methods that lend themselves well to testing predictions from formal models, such as probability models, general maximum-likelihood methods, and the tools of Bayesian statistics.

The syllabus for the course can be found here.

James Lo is Assistant Professor at the University of Southern California. Previously he was Postdoctoral Research Associate at Princeton University and Research Fellow at the University of Mannheim.