2022
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”
Student Seminar: Xiaohan Li
11:00–11:30 am Via Zoom
Master’s Thesis Presentation
XIAOHAN LI, Department of Statistics, The University of Chicago
“Investigation of Filter Model in FHS Methods of Calculating VaR and ES”
Student Seminar: Lizhen Nie
10:00 am–12:00 pm Jones 304
Dissertation Presentation and Defense
LIZHEN NIE, Department of Statistics, The University of Chicago
“Statistical Methods For Change Point Problems and Bayesian Uncertainty Quantification”
Student Seminar: Ahmed Bou-Rabee
1:50–2:50 pm In-Person and Remote
Dissertation Presentation and Defense
AHMED BOU-RABEE, Department of Statistics, The University of Chicago
“Symmetries and Patterns in Sandpiles”
Student Seminar: Jiacheng Wang
12:30–2:30 pm Jones 303
Dissertation Presentation and Defense
JIACHENG WANG, Department of Statistics, The University of Chicago
“Statistical Methods for Higher Order Tensor Clustering and Completion”
Student Seminar: Xialiang Dou
9:00–10:00 am Via Zoom
Dissertation Presentation and Defense
XIALIANG DOU, Department of Statistics, The University of Chicago
“Robustness and Model Adaptivity in Stochastic Programming”
Statistics Colloquium: Nihar B. Shah
4:30–5:30 pm Via Zoom
NIHAR B. SHAH, Departments of Machine Learning & Computer Science, Carnegie Mellon University
“Peer Review, Biases, and Statistics”