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.


November 30, 2015, 4:15pm
Prof. Abraham J. Wyner
The University of Pennsylvania
Explaining the Success of AdaBoost and Random Forests as Interpolating Classifiers
There is a large literature explaining why AdaBoost is a successful classifier. The literature on AdaBoost focuses on classifier margins and boosting's interpretation as the optimization of an exponential likelihood function. These existing explanations, however, have been pointed out to be...
December 7, 2015, 4:15pm
Yihong Wu
University of Illinois at Urbana-Champaign
Polynomial approximation, moment matching and optimal estimation of the unseen
Estimating the support size of a distribution is a classical problem in statistics, dating back to the early work of Fisher, Good-Turing, and the influential work by Efron-Thisted on "how many words did Shakespeare know." In the sublinear regime where the alphabet cardinality far exceeds...