2022
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: Young-Joo Yun
11:00–11:30 am Jones 303
Master’s Thesis Presentation
YOUNG-JOO YUN, Department of Statistics, The University of Chicago
“Selective Inference for Clustering with Variable Selection and Unknown Variance”
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”
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”