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.

Upcoming Seminars

October 6, 2014, 4:15pm
Sham Kakade
MSR, New England
Statistical Estimation of Latent Variable Models via Tensor Decompositions
In many applications, we face the challenge of modeling the interactions between multiple observations. A popular and successful approach in machine learning and AI is to hypothesize the existence of certain latent (or hidden) causes which help to explain the correlations in the observed data. The...
October 20, 2014, 4:15pm
Sungjin Hong
An introduction to multiway component analysis (a.k.a. tensor decomposition)
Generalized decomposition models were developed in Psychology for multiway arrays having three or more dimensions (i.e., third- and higher-order tensors). Harshman (1970) and Car-roll (1970) independently proposed the trilinear model and called it, respectively, Parafac (Parallel factor analysis)...