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.


September 8, 2017, 11:30am
Alexander Meister - YPNG Talk, 24 Hillhouse Ave., Rm. 107
Institute for Mathematics, University of Rostock, Germany
Nonparametric density estimation for intentionally corrupted functional data
Abstract: We consider statistical models in which functional data are artificially contaminated by independent Wiener processes in order to satisfy privacy constraints. We show that the corrupted observations have a Wiener density, which determines the distribution of the original functional data...
September 18, 2017, 4:15pm
Harlan M Krumholz, MD, SM - Applied Data Science Seminar, 17 Hillhouse Avenue, 3rd Floor
Yale University and Yale-New Haven Hospital

Harold H. Hines, Jr. Professor of Medicine (Cardiology) and Professor in the Institute for Social and Policy Studies, of Investigative Medicine and of Public Health (Health Policy); Director, Center for Outcomes Research and Evaluation, Yale-New Haven Hospital ; Co-Director, Robert Wood Johnson...