2023
Student Seminar: Samuel Tyler
10:00–10:30 am Jones 303
Master’s Thesis Presentation
SAMUEL TYLER, Department of Statistics, The University of Chicago
“Non-Parametric VaR Estimation: Accounting for Fat Tails in Financial Risk Management”
Student Seminar: Shuhan Liu
4:30–5:00 pm Jones 111
Master’s Thesis Presentation
SHUHAN LIU, Department of Statistics, The University of Chicago
“A Generalization of Subspace Clustering Method to Attributed Network”
Student Seminar: Ruiting Tong
2:30–3:00 pm Jones 304
Master’s Thesis Presentation
RUITING TONG, Department of Statistics, The University of Chicago
“Discrete beta-corners processes on q-lattice via two-level Nekrasov equations”
Student Seminar: Shunqi (Johnson) Zhang
2:45–3:15 pm Via Zoom
Master’s Thesis Presentation
SHUNQI (JOHNSON) ZHANG, Department of Statistics
“Machine Learning for Stock Volatility Prediction”
Student Seminar: Feiyu Han
2:00–2:30 pm Jones 304
Master’s Thesis Presentation
FEIYU HAN, Department of Statistics, The University of Chicago
“Reproducing Kernel Nuclear Space”
Student Seminar: Ziao (Adjani) Shi
3:00–3:30 pm Via Zoom
Master’s Thesis Presentation
ZIAO (ADJANI) SHI, Department of Statistics, The University of Chicago
“Understasnding the Representation Learned by Contrastive Learning”
Statistics Colloquium: Xihong Lin
4:30–5:30 pm Jones 303
XIHONG LIN, Department of Biostatistics, Harvard University
“Ensemble methods for testing a global null with applications to whole genome sequencing studies”
Student Seminar: Huanqing Wang
1:30–2:00 pm Via Zoom
Master’s Thesis Presentation
HUANQING WANG, Department of Statistics, The University of Chicago
“Multi-Layer FDR Control for Grouped Hypotheses using E-Values”
CAM and Stats Student Seminar: Phillip Lo
12:30–1:30 pm Jones 226
PHILLIP LO, Committee on Computational and Applied Mathematics, University of Chicago
“Learning Coronal Nonlinear Force-Free Magnetic Fields through Differentiable Rendering”
Student Seminar: Xingyue Fang
10:00–10:30 am Via Zoom
Master’s Thesis Presentation
XINGYUE FANG, Department of Statistics, The University of Chicago
“Study of geographical and demographic, and temporal factors affecting PM2.5 concentration level across the US”