2022
Student Seminar: JieXin Chen
2:30–3:00 pm Via Zoom
Master’s Thesis Presentation
JIEXIN CHEN, Department of Statistics, The University of Chicago
“High Dimensional Model Selection Problem for Asset Pricing Model”
Student Seminar: Song Liang
2:00–2:30 pm Via Zoom
Master’s Thesis Presentation
SONG LIANG, Department of Statistics, The University of Chicago
“Res-VAE: A Highly Scalable Causal Network Discovery Method”
Student Seminar: Xiaomeng Wang
1:00–1:30 pm Via Zoom
Master’s Thesis Presentation
XIAOMENG WANG, Department of Statistics, The University of Chicago
“Reweighting the Knockoff Filter for Computational Efficiency”
Student Seminar: Heming Liu
8:45–9:45 am Via Zoom
Master’s Thesis Presentation
HEMING LIU, Department of Statistics, The University of Chicago
“Bridging Convex and Nonconvex Optimization for Matrix Completion in a Non-Uniform World”
Student Seminar: Ji-Eon Kim
1:00–1:30 pm Via Zoom
Master’s Thesis Presentation
JI-EON KIM, Department of Statistics, The University of Chicago
“Measuring Natural Direct Effect by Machine Learning: A Case Study of Societal Trust’s Effect on Income Smoothing”
Statistics Colloquium: Alexander Rakhlin
4:30–5:30 pm Via Zoom
ALEXANDER RAKHLIN, Statistics and Data Science Center, IDSS; Department of Brain & Cognitive Sciences; Laboratory for Information & Decision Systems, Massachusetts Institute of Technology
“On the Statistical Complexity of Interactive Decision-Making”
Student Seminar: Benjamin Picker
12:00–12:30 pm Via Zoom
Master’s Thesis Presentation
BENJAMIN PICKER, Department of Statistics, The University of Chicago
“The Hips as a Four-Bar Linkage System: Using Reinforcement Learning to Explore Compensation Patterns in Patients with Leg Length Discrepancies”
Student Seminar: Junyu Chen
11:30 am–12:00 pm Via Zoom
Master’s Thesis Presentation
JUNYU CHEN, Department of Statistics, The University of Chicago
“Discovering Graphical Granger Causality Using Different Lasso Methods”
Student Seminar: Jingyang Lyu
11:00–11:30 am Via Zoom
Master’s Thesis Presentation
JINGYANG LYU, Department of Statistics, The University of Chicago
“Online Statistical Inference for the Stochastic Gradient Descent — From Bootstrap to Covariance Estimation”
Student Seminar: Ethan Lewis
10:00–10:30 am Jones 304
Master’s Thesis Presentation
ETHAN LEWIS, Department of Statistics, The University of Chicago
“Bayesian Framework for Mendelian Randomization in Mediation Setting”