2022
Student Seminar: Yating Liu
9:00–9:30 am Via Zoom
Master’s Thesis Presentation
YATING LIU, Department of Statistics, The University of Chicago
“Debiased Differential Network Estimator via Kendall’s Tau for Transelliptical Graphical Models”
Student Seminar: Melissa Adrian
12:30–1:00 pm Via Zoom
Master’s Thesis Presentation
MELISSA ADRIAN, Department of Statistics, The University of Chicago
“Data Assimilation for Graph Neural Networks: A Case Study of Highway Traffic Time Series Prediction”
Student Seminar: Raphael Rossellini
12:00–1:00 pm Jones 304
Master’s Thesis Presentation
RAPHAEL ROSSELLINI, Department of Statistics, The University of Chicago
“Spatiotemporal Conformal Prediction — With Application to Subseasonal Climate Forecasting”
Student Seminar: Wenqi Yan
3:00–3:30 pm Via Zoom
Master’s Thesis Presentation
WENQI YAN, Department of Statistics, The University of Chicago
“Study of the Mixed-Effects Location Scale Model and Its Applications”
Student Seminar: Nathan Gill
10:00–11:00 am Jones 304
Dissertation Presentation and Defense
NATHAN GILL, Department of Statistics, The University of Chicago
“Variance Modeling in Several Settings”
Student Seminar: Aoxue Chen
12:45–1:45 pm Jones 304
Master’s Thesis Presentation
AOXUE CHEN, Department of Statistics, The University of Chicagoi
“Self-Supervised Learning via Autoencoder”
Student Seminar: Ruiyi Wang
12:00–12:30 pm Via Zoom
RUIYI WANG, Department of Statistics, The University of Chicago
“Discovery of Modifications on Contrastive Self-Supervised Learning”
Statistics Colloquium: Vitaly Feldman
4:30–5:30 pm Via Zoom
VITALY FELDMAN, Apple AI Research
“Low-communication Algorithms for Private Federated Data Analysis with Optimal Accuracy Guarantees”
Student Seminar: Zhe (Klaus) Kong
11:50 am–12:50 pm Via Zoom
ZHE (KLAUS) KONG, Department of Statistics, The University of Chicago
“Shrink & Sparsify Method in Time-Varying Parameter Vector Autoregression — Stock Market Index Forecasting”
Student Seminar: Yi-Lin Liu
11:00–11:30 am Jones 303
Master’s Thesis Presentation
YI-LIN LIU, Department of Statistics, The University of Chicago
“Testing Overdispersion in the Analysis of Alternative Polyadenylation. A Theoretical and Empirical Study Under Dirichlet-Multinomial Framework”