Unifying regression-based and design-based causal inference in time-series experiments and crossover experiments
Peng Ding, Associate Professor of Statistics at Berkeley University
Past Events
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
Graduate Student Seminar: Localized Detection of Authenticity in Mixed Source Texts via Epidemic Change-point Perspective
Subhrajyoty Roy, Postdoctoral Research Associate in Statistics & Data Science at Washington University in St. Louis
Jolley Hall, Room 539A
Rethinking the Theoretical Foundation of Reinforcement Learning
Nan Jiang, Associate Professor of Computer Science at University of Illinois Urbana-Champaign
Crow Hall, Room 206
Interpretable AI in Scientific Applications
David Dunson, Arts and Sciences Distinguished Professor of Statistical Science at Duke University
Crow Hall, Room 206
Graduate Student Seminar: Kernel Bandwidth Selection for Maximum Mean Discrepancy
Hangcen Zou, Washington University in St. Louis
Jolley Hall, Room 539A
Estimating the Effect of Spatial Interventions in the Presence of Interference: A Causal Inference Approach
Nathan Wikle, Assistant Professor of Statistics and Actuarial Science at University of Iowa
Crow Hall, Room 206
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
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
Statistical Neuroimaging Analysis: An Overview
Lexin Li, Professor of Biostatistics at University of California, Berkeley
Crow Hall, Room 206
Graduate Student Seminar: Analyzing Soccer Shots with Spatial Hierarchical Item Response Theory
Sayan Das, Washington University in St. Louis
Jolley Hall, Room 539A
Scalable Community Detection in Massive Networks Using Aggregated Relational Data
Tian Zheng, Professor of Statistics at Columbia University
Duncker Hall, Room 201 Hurst Lounge
Artificially Intelligent Geospatial Systems: A Case Study in Spatial Energetics for Mobile Health Data
Sudipto Banerjee, Professor in the Department of Biostatistics and the Department of Statistics at University of California, Los Angeles
Danforth University Center, Room 276
Developing AI for Psychological Assessment
Josh Oltmanns, Assistant Professor of Psychological & Brain Sciences at Washington University in St. Louis
Jolley Hall, Room 539A