The Department of Statistics at Yale University consists of 8 faculty members, 3 staff, and 28 graduate students. We offer M.A. and Ph.D. programs, as well as an undergraduate major in Statistics.

We have active research programs in statistical information theory, statistical genetics and bioinformatics, bayesian methods, statistical computing, graphical methods, model selection, asymptotics, and other topics. Our faculty and students are also active in collaborative research with other departments throughout the university, including computer science, biological sciences, social sciences, physical sciences, engineering, bioinformatics, economics and applied mathematics.

We occupy the James Dwight Dana House, which is listed as a National Historic Landmark and carries the Landmark Plaque of the New Haven Preservation Trust. In addition to office and classroom spaces, the Dana House is home to a computing laboratory for use by our faculty and students.


October 31, 2016, 4:15pm
Guy Bresler
Learning a Tree-Structured Ising Model in Order to Make Predictions
We study the problem of learning a high-dimensional tree graphical model from samples such that low-order marginals are accurate. This enables making accurate predictions based on an observation of few variables. We give a new analysis of the classical Chow-Liu algorithm, which finds the maximum...
November 7, 2016, 4:15pm
S├ębastien Bubeck
Microsoft Research
New Results at the Crossroads of Convexity, Learning and Information Theory
I will present three new results (no background in optimization will be assumed, all concepts will be defined and motivated): (i) the Cramer transform of the uniform measure on a convex body is a universal self-concordant barrier; (ii) projected gradient descent with Gaussian noise allows to sample...