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 Events

September 4, 2015, 12:00pm
Alexander Meister
University of Rostock, Germany
Asymptotic theory for the Rasch model
We consider the mixture Rasch model, which is famous in the field of psychometrics. We will analyze this model asymptotically using methods from Le Cam's theory when both the number of questions and the number of individuals under survey tend to infinity.
September 14, 2015, 4:15pm
Prof. Dr. Joachim M. Buhmann
ETH Z├╝rich
Information theory of algorithms: How precisely should we compute?
Algorithms map input spaces to output spaces where inputs are possibly affected by fluctuations. Beside run time and memory consumption, an algorithm might be characterized by its sensitivity to the signal in the input and its robustness to input fluctuations. The achievable precision of an...