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Seminars

Upcoming Seminars

Speaker Title (Click for details) Time
Matias Cattaneo Bootstrap-Assisted Inference for Generalized Grenander-type Estimators Apr 7th, 2023 3:30 pm
Jonathan Taylor TBD Apr 14th, 2023 3:30 pm
Subhashis Ghoshal Coverage of credible intervals under multivariate monotonicity Apr 21st, 2023 3:30 pm
Monica Alexander TBD Apr 28th, 2023 3:30 am
Rebecca Nugent TBD May 5th, 2023 3:30 pm

Past Seminars

March 2023
Speaker Time Sponsor
Alexandra Chouldechova Blackwell Seminar:Algorithms in unjust systems Mar 10th, 2023
February 2023
Speaker Time Sponsor
AmirEmad Ghassami Causal Reasoning in Complex Data Settings Feb 24th, 2023
Lekha Patel Flexible Hawkes Process Models and Applications Feb 17th, 2023
Andrew Magee Modeling the spatiotemporal spread of infectious diseases with Bayesian phylodynamics Feb 17th, 2023
Betsy Ogburn Confounding and dependence in spatial statistics (joint work with Brian Gilbert, Abhi Datta, and Joan Casey) Feb 10th, 2023
Hyemin Yeon Bootstrap inference in functional linear regression models Feb 10th, 2023
January 2023
Speaker Time Sponsor
Rahul Singh Causal Inference with Corrupted Data: Measurement Error, Missing Values, Discretization, and Differential Privacy - Joint work with Anish Agarwal (Amazon Core AI) Jan 27th, 2023
Emily Diana Addressing Algorithmic Bias and Disclosiveness: Minimax Fairness and Multiaccurate Proxies Jan 23rd, 2023
Anqi Zhao To Adjust or not to Adjust? Estimating the Average Treatment Effect in Randomized Experiments with Missing Covariates Jan 20th, 2023
Matteo Bonvini Optimal Subgroup Identification Jan 13th, 2023
Zhimei Ren Stable Variable Selection with Knockoffs Jan 9th, 2023
Fan Bu Statistical Methods for Observational Data on Infectious Diseases Jan 6th, 2023
December 2022
Speaker Time Sponsor
Yuansi Chen Localization schemes and the mixing of hit-and-run Dec 2nd, 2022
November 2022
Speaker Time Sponsor
Ting Ye A Negative Correlation Strategy for Bracketing in Difference-in-Differences Nov 18th, 2022
Rui Song On statistical inference for sequential decision making Nov 4th, 2022
October 2022
Speaker Time Sponsor
Hyunseung Kang A Robust, Differentially Private Randomized Experiment for Evaluating Online Educational Programs With Sensitive Student Data Oct 28th, 2022
Armeen Taeb Causal learning with unknown interventions: algorithms, guarantees, and connections to distributional robustness Oct 21st, 2022
Dylan Small Testing an Elaborate Theory of a Causal Hypothesis Oct 14th, 2022
George Luta On Optimal Correlation-Based Prediction Oct 7th, 2022
September 2022
Speaker Time Sponsor
Daniela M Witten Double dipping: problems and solutions, with application to single-cell RNA-sequencing data Sep 30th, 2022