Past Events

Past Events

Targeting Internal and External Validity in Observational Studies: From Causal Inference to Adaptive Study Design

Yajuan Si, Research Associate Professor of Biostatistics at University of Michigan
Simon Hall, Room 023

ASA Statistics Day at Washington University in St. Louis

Organized by ASA St. Louis Chapter
In collaboration with ASA Mid-Missouri Chapter, ASA Washington University Student Chapter, and the Washington University Department of Statistics & Data Science
Washington University in St. Louis Danforth Campus, events start in Crow Hall, Room 201

Integrating diverse evidence sources in clinical research: bridging RCTs and RWD

The interface of statistics, AI, and real-world evidence
Shu Yang, Professor of Statistics at North Carolina State University
Simon Hall, Room 023

Ensemble Inference in Supervised Homogeneity Pursuit

Peter Song, Professor of Biostatistics at University of Michigan
Simon Hall, Room 023

Randomization Inference with Sample Attrition

Xinran Li, Assistant Professor of Statistics at The University of Chicago
Simon Hall, Room 023

Conditional formulation of Gaussian systems on spatial networks with irregularly distributed points

Debashis Mondal, Associate Professor of Statistics & Data Science at Washington University in St. Louis
Jolley Hall, Room 531

Learning to Map Anything, Anywhere, Anytime

Nathan Jacobs, Professor of Computer Science and Engineering at Washington University in St. Louis
Jolley Hall, Room 531

Unifying regression-based and design-based causal inference in time-series experiments and crossover experiments

Peng Ding, Associate Professor of Statistics at Berkeley University
Seigle Hall, Room 208

When Does Synthetic Data Help Imbalanced Learning?

Anru Zhang, Associate Professor at Duke University
Seigle Hall, Room 208

Statistics & Data Science Seminar Series Presents: Distinguished Speaker Xihong Lin

Xihong Lin, Professor of Biostatistics and Chair and Professor of Statistics at Harvard University
Seigle Hall, Room 208

Graduate Student Seminar Series Presents: Dark Matter Walks into a Likelihood Function

Tansu Daylan, Assistant Professor of Physics at Washington University in St. Louis
Jolley Hall, Room 531

Graduate Student Seminar: Covariance Networks for Sparsely Observed Functional Data

Kaustav Paul, PhD Student in Statistics & Data Science at Washington University in St. Louis
Jolley Hall, Room 531

Double Sampling and Semiparametric Methods for Informatively Missing Not at Random Data

Sebastien Haneuse, Professor of Biostatistics at Harvard University
Seigle Hall, Room 208

Graduate Student Seminar: Maximum Likelihood Estimation for Entity Ranking Under Iterative Synthetic Data Augmentation

Yiqiao Jin, PhD Student in Statistics & Data Science at Washington University in St. Louis
Jolley Hall, Room 531

Bayesian Causal Inference with Uncertain Physical Process Interference

Corwin Zigler, Professor of Biostatistics at Brown University
Seigle Hall, Room 208

Potential Outcome Modeling and Estimation in DiD Designs with Staggered Treatments

Siddhartha Chib, Harry C. Hartkopf Professor of Econometrics and Statistics in the Olin Business School at Washington University in St. Louis
Jolley Hall, Room 531

Graduate Student Seminar Series Presents: Local Variable Selection for High-Dimensional Spatial Data

Debjoy Thakur, Postdoctoral Lecturer in Statistics & Data Science at Washington University in St. Louis
Jolley Hall, Room 539A/531

Bayesian Nonparametric Measurement with Gaussian Processes: From Static to Dynamic Item Response Theory

Jacob Montgomery, Professor of Political Science at Washington University in St. Louis
Jolley Hall, Room 531

Graduate Student Seminar Series Presents: Statistical Inference for Complex Data: from Change-Point Detection to Conditional Independence Testing

Yi Zhang, Postdoctoral Research Associate in Statistics & Data Science at Washington University in St. Louis
Jolley Hall, Room 539A/531

Optimal Prediction of Asset Returns and Factors of the Stock Market

Guofu Zhou, Frederick Bierman & James E. Spears Professor of Finance, Olin Business School at Washington University in St. Louis
Jolley Hall, Room 531

Designing Randomized Experiments under Network Interference

Emma Zhang, Professor of Information Systems & Operations Management at Emory University
Seigle Hall, Room 301

Tailoring Nuisance Function Estimation for Optimal Downstream Causal Inference

Sean McGrath, Postdoctoral Assistant in Biostatistics and Public Health, Yale University
Danforth University Center, Room 234

Compound Selection Decisions: An Almost SURE Approach

Lihua Lei, Assistant Professor of Economics at Stanford University
Crow Hall, Room 206

Graduate Student Seminar: Assumption-Lean Inference for Network-Linked Data

Wei Li, PhD Candidate in Statistics & Data Science at Washington University in St. Louis
Jolley Hall, Room 539A

BET and BELIEF

Kai Zhang, Professor of Statistics and Operations Research at University of North Carolina Chapel Hill
Crow Hall, Room 206

Cointegration Between Two Intrinsically Stationary Spatial Processes

Qiwei Yao, Professor of Statistics at London School of Economics and Political Science
Crow Hall, Room 206

Graduate Student Seminar Series Presents: Integrating literary theory and data science: Assessing GPT-generated synthetic fiction for stylistic accuracy using Random Forests

Claudia Carroll, Postdoctoral Research Associate in TRIADS at Washington University in St. Louis
Jolley Hall, Room 539A

Privacy, Data Privacy, and Differential Privacy

Xiao-Li Meng, Whipple V. N. Jones Professor of Statistics at Harvard University
Crow Hall, Room 206

AI for Health: Harnessing Artificial Intelligence to Advance Human Health

Chenyang Lu, Fullgraf Professor of Computer Science & Engineering and Director of the AI for Health Institute at Washington University in St. Louis
Crow Hall, Room 206

Graduate Student Seminar: Adaptive Iterative Hard Thresholding for Online High-dimensional Quantile Regression

Zitian Zhou, PhD Student in Statistics & Data Science at Washington University in St. Louis
Jolley Hall, Room 539A

Towards Interpretable and Trustworthy Network-Assisted Prediction

Liza Levina, Vijay Nair Collegiate Professor of Statistics at University of Michigan
Crow Hall, Room 206