The Department of Statistics and Data Science 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.


March 27, 2017, 4:15pm
Debra Fischer, Applied Data Science Seminar, 17 Hillhouse Avenue
Yale Astronomy, Joint Appointment In Yale Department of Geology & Geophysics Adjunct Professor of Physics & Astronomy, San Francisco State University
Hunting for Earths in Noisy Data
Thousands of exoplanets have been detected over the past two decades, providing important statistical information about the size and ubiquity of other worlds. However, analogs of our Earth - small rocky planets that orbit in the "habitable zone" have escaped detection because the state of...
April 3, 2017, 4:15pm
Vasileios Maroulas
University of Tennessee
Persistence diagrams classification using a point process distance: an application to signals
In this talk, we consider the problem of signal classification by considering their associated persistence diagrams. We endow the data space of persistence diagrams with a new metric from point processes. In contrast with the Wasserstein distance, this metric accounts for changes in small...