Congratulations to all of our AB, AM and PhD graduates from 2022, 2021 and 2020! Our department will celebrate commencement in person this year with a celebration for the Class of 2022 on May 26th and a celebration for the Classes of 2020 and 2021 on May 29th! Please visit our 2022 Commencement page and... Read more about Commencement 2020 and 2021
Congratulations to all of our AB, AM and PhD graduates from 2022, 2021 and 2020! Our department will celebrate commencement in person this year with a celebration for the Class of 2022 on May 26th and a celebration for the Classes of 2020 and 2021 on May 29th! Please visit our 2022 Commencement page and... Read more about Commencement 2022
Please join us for our upcoming Statistics Seminar on May 19th with Art B. Owen who is a Max H. Stein Professor of Statistics at Stanford University.
Title: Tie-Breaker Designs
Abstract: Companies may offer incentives to their best customers and philanthropists may offer scholarships to the strongest students. They can evaluate the impact of these treatments later using a regression discontinuity analysis. Unfortunately, regression discontinuity analyses have high variance....
Our upcoming event for the Statistics Department Colloquium Series is scheduled for this Monday, April 25th from 12:00 – 1:00pm (ET) and will be an in person presentation in room 316 of the Science Center. The speaker is Yury Polyanskiy who is an Associate Professor in the Department of Electrial Engineering and Computer Sciences at Massachusetts Institute of Technology.
Title: Empirical Bayes estimators for Poisson and normal means
Abstract : We consider the classical problems of estimating the mean of an n-dimensional normally (with...
Please save the date for the 2021 Dempster Prize seminar which will be presented by our award winner Ambarish Chattopadhyay for his paper (with Jose Zubizarreta) "On the implied weights of linear regression for causal inference". The talk will be on 22 April, 1.30pm, in room 316, Science Center. The talk will be followed by the Dempster Prize presentation and a reception for Ambarish.
Title: On the implied weights of linear regression for causal inference
Our upcoming event for the Statistics Department Colloquium Series is scheduled for this Monday, April 18th from 12:00 – 1:00pm (ET) and will be an in person presentation in room 316 of the Science Center. The speaker is Tselil Schramm who is an Assistant Professor of Statistics at Stanford University.
Title: Testing thresholds in high-dimensional random geometric graphs
Abstract: We study random geometric graphs in the high-dimensional setting, where the dimension grows to infinity with the number of...
Our upcoming event for the Statistics Department Colloquium Series is scheduled for this Monday, April 11th from 12:00 – 1:00pm (ET) and will be a virtual presentation over Zoom. The speaker is Deborah Marks who is an Associate Professor of Systems Biology at Harvard University.
Our upcoming event for the Statistics Department Colloquium Series is scheduled for this Monday, April 4th from 12:00 – 1:00pm (ET) and will be an in person presentation in room 316 of the Science Center. The speaker is Lucas Janson who is an Assistant Professor of Statistics at Harvard University.
Title: Controlled Discovery and Localization of Signals via Bayesian Linear Programming (BLiP)
Our next event for the Statistics Department Colloquium Series is scheduled for this Monday, March 28th from 12:00 – 1:00pm (ET) and will be an in person presentation in room 316 of the Science Center. The speaker is Andrew Nobel who is a Robert Paul Ziff Distinguished Professor in the Department of Statistics and Operations Research at University of North Carolina.
Title : Stationary Optimal Transport with Applications to Graph Alignment
Abstract : Optimal transport seeks to find couplings of two given distributions with minimum expected cost. This...
Our next event for the Statistics Department Colloquium Series is scheduled for this Monday, March 21st from 12:00 – 1:00pm (ET) and will be an in person presentation in room 316 of the Science Center. The speaker is Yuan Liao who is an Associate Professor of Economics at Rutgers University.
Title : Neural Network Inference on Nonparametric Conditional Moment Restrictions with Weakly Dependent Data
Abstract : Neural Networks (NNs) are nonlinear sieves that can approximate nonlinear functions...
