Seminars

2022 Fall Seminars

2023 Spring Seminars

2023 Fall Seminars

2022 Spring Seminars

Stationary Optimal Transport with Applications to Graph Alignment -- Wednesday, April 6, 2022 -- Professor Andrew Nobel -- University of North Carolina - Chapel Hill
Repro Sampling Method for Statistical Inference of High Dimensional Linear Models
-- Wednesday, March 30, 2022 -- Professor Peng Wang -- University of Cincinnati
Statistical methods for harmonizing multi-scanner neuroimaging
 -- Wednesday, March 23, 2022 -- Professor Russell Shinohara -- University of Pennsylvania

Adjusting the Benjamini-Hochberg method for controlling the false discovery rate in knockoff-assisted variable selection -- Wednesday, March 9, 2022 -- Professor Cheng Yong Tang -- Temple University
Statistical inference for high-dimensional block-wise missing data Wednesday, March 2, 2022 -- Professor Fei Xue -- Purdue University

2021 Fall Seminars

From Stochastic Optimization To Dynamic Data Depth, and From Domain-Specific Probability Models To Evaluation of Model-Based ForecastsMonday, September 13, 2021-- Professor Tze Leung Lai -- Stanford University
Big Spatial Data Learning: A Parallel Solution
Wednesday, September 15, 2021 -- Professor Shan Yu -- University of Virginia
Statistical Issues Arising in Equal Employment Cases
Wednesday, September 22, 2021 -- Professor Weiwen Miao -- Haverford College
Demystifying (Deep) Reinforcement Learning: The Pessimist, The Optimist, and Their Provable Efficiency
Wednesday, September 29, 2021 -- Prof. Zhuoran Yang -- Princeton University
Community Network Auto-Regression for High-Dimensional Time Series
Wednesday, October 6, 2021 -- Prof. Elynn Chen -- NYU Stern School of Business
From domain-specific probability models to evaluation of model-based probability forecasts
Monday, October 18, 2021 -- Professor Tze Leung Lai -- Stanford University
Understanding the Under-Coverage Bias in Uncertainty Estimation and Calibration
Wednesday, October 13, 2021 -- Dr. Yu Bai -- Salesforce Research
Motif Counting via Subgraph sampling
Wednesday, October 20, 2021 -- Professor Sumit Mukherjee -- Columbia University
Maximum likelihood for high-noise group orbit estimation and cryo-EM
Wednesday, October 27, 2021 -- Professor Zhou Fan -- Yale University
Minimax Supervised Clustering in the Anisotropic Gaussian Mixture Model: A new take on Robust Interpolation
Wednesday, November 3, 2021 -- Professor Mohamed Ndaoud -- ESSEC Business School, Paris, France
Some insights into transfer learning under label shift and posterior drift
Wednesday, November 10, 2021 -- Professor Moulinath Banerjee -- University of Michigan
Differentially private inference via noisy optimization
Wednesday, November 17, 2021--Professor Marco Avella
Tie-breaker designs
Wednesday, December 1, 2021  --  Professor Art Owen --Stanford University



 

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

2020 Fall Seminars

2020 Spring Seminar

Data Integration:Data-Driven Discovery from Diverse Data Sources
Wednesday--March 4, 2020--Prof. Genevera Allen--Rice University
KNG: A New Mechanism for Data Privacy
Wednesday--March 11, 2020--Prof, Matthew Reimherr--Pennsylvania State University
RSVP-graphs: Fast High-dimensional Covariance Matrix Estimation Under Latex Confounding
Wednesday--April 15, 2020--Prof. Rajen Shah--University of Cambridge
Statistical inference for Spatio-Temporal Self-Exciting Point Processes
Wednesday--May 6, 2020--Prof. Yao Xie--Georgia Institute of Technology
Kernal Tests of Goodness-of-Fit using Stein's Method
Wednesday--May 20, 2020--Prof. Arthur Gretton--University College London
Inference for Heterogeneous Treatment Effects using Low-Rank Estimations
Wednesday--June 10, 2020--Prof. Yuan Liao--Rutgers University

2019 Fall Seminars

2019 Spring Seminars

2018 Fall Seminars

2017 Fall Seminars

2017 Spring Seminars

2016 Fall Seminars

Subcategories

Seminars

Latest News

Congratulations to Professor Roy Han for being awarded a Board of Trustees Research Fellowship for Scholarly Excellence for 2022-2023 as well as the Bernoulli New Researcher Award!

Congratulations to the following Professors on their promotions
Roy Han, Associate Professor
Han Xiao, Professor
Sijian Wang, Professor
Zhiqiang Tan, Distinguished Professor

Professors Koulik Khamaru, Min Xu and Yaqing Chen all received grant awards!

Congratulations to The Financial Statistics & Risk Management Program for being ranked among the top 25 quantitative finance programs in the world by Risk.net!

Our PhD Students Prabrisha Rakshit and Kai Tan received the IMS Hannan Graduate Student Award!

Congratulations to Professor Zijian Guo for receiving this year's ICSA Outstanding Young Researcher Award!

Congratulations to our PhD Student Yajie Duan for winning the ASA nonclinical biostatistics conference student award for best presentation.

Professor Greg Manco recently accepted an offer as an Associate Teaching Professor.

Congratulations to all our awardees!