Seminars

2021 Spring Seminars

Self-regularizing Property of Nonparametric Maximum Likelihood Estimator in Mixture Models
Professor Yihong Wu -- Yale University

Rates of Approximation for CLT and Bootstrap in High Dimensions
Professor Miles Lopes-- University of California, Davis

High-dimensional Regression and Dictionary Learning: Some Recent Advances for Tensor Data
Professor Waheed U. Bajwa-- Rutgers University

Conformal Inference of Counterfactuals and Individual Treatment Effects
Dr. Lihua Lei--Stanford University--Wednesday, February 10, 2021

Global Testing Against Sparse Alternatives under Ising Models
Professor Rajarshi Mukherjee--Harvard University--Wednesday, February 17, 2021

Adaptive Estimation in Multivariate Response Aggression with Hidden Variables
Professor Yang Ning--Cornell University--Wednesday, February 24, 2021

Statistical Inference for high dimensional principal components
Professor Xiuca Ding--UC Davis--Wednesday, March 3, 2021

Minimum-Norm Interpolation in Statistical Learning: New Phenomena in High Dimensions
Professor Tengyuan Liang--University of Chicago--Wednesday, March 10, 2021

Prepivoting in Finite Population Causal Inference
Professor Colin Fogarty--MIT--Wednesday, March 24, 2021

The partial liner model (PLM) from semiparametric to modern ramifications
Professor Ya'acov Ritov--University of Michigan, Ann Arbor--Wednesday, March 31, 2021

Change-point detection for COVID-19 time series via self-normalization
Professor Xiaofeng Shao--University of Illinois at Urbana-Champaign--Wednesday, April 7, 2021

The Confidence Interval Method for Selection Valid Instrumental Variables
Professor Frank Windmeijer--University of Oxford--Wednesday, April 28, 2021