2020
Statistics Colloquium: Colin B. Fogarty
4:00–5:00 pm Jones 303
COLIN B. FOGARTY, Operations Research and Statistics, MIT Sloan School of Management
“Prepivoting in Finite Population Causal Inference”
Student Seminar: Yuhei Koshino
2:45–3:45 pm Jones 111
Master’s Thesis Presentation
YUHEI KOSHINO, Department of Statistics, The University of Chicago
“Evaluation of Methods for Adjusting Partial Non-responses and Sensitivity Analysis of Estimated Vaccination Coverage Rate: National Immunization Survey 2018”
Student Seminar: Seung Ah Ha
2:00–3:00 pm Jones 111
Master’s Thesis Presentation
SEUNG AH HA, Department of Statistics, The University of Chicago
“TBA”
Student Seminar: Patrick Walker
1:00–2:00 pm Jones 304
Master’s Thesis Presentation
PATRICK WALKER, Department of Statistics, The University of Chicago
“Investigations into Cox Hazards Models for Clinical Trial Data”
Student Seminar: Hanyang Peng
1:00–2:00 pm Jones 303
Master’s Thesis Presentation
HANYANG PENG, Department of Statistics, The University of Chicago
“TBA”
Statistics Colloquium: Peter Grunwald
4:30–5:30 pm Jones 303
PETER GRÜNWALD, Machine Learning, Centrum Wiskunde & Informatica; Mathematical Institute, Leiden University
“Safe Testing”
Student Seminar: Lin Gui
2:00–3:00 pm Jones 111
Master’s Thesis Presentation
LIN GUI, Department of Statistics, The University of Chicago
“Replicating Signals Detection with an Adaptive Filtering Procedure and its One Extension”
Student Seminar: Wenjing Xu
9:30–10:30 am Jones 304
Master’s Thesis Presentation
WENJING XU, Department of Statistics, The University of Chicago
“Modelling Time-varying Behavior of Maxima with Dynamic Fréchet Model”
Student Seminar: Xiaoyu Sun
9:00–10:00 am Jones 304
Master’s Thesis Presentation
XIAOYU SUN, Department of Statistics, The University of Chicago
“Portfolio Value-at-Risk Estimation: a Multivariate Copula-based Volatility Model”
Student Seminar: Yi Jin
8:30–9:30 am Jones 304
Master’s Thesis Presentation
YI JIN, Department of Statistics, The University of Chicago
“Estimating Value at Risk with Kernel Density Estimation”