2022
Student Seminar: Weishi Wang
2:00–2:30 pm Jones 303
Master’s Thesis Presentation
WEISHI WANG, Department of Statistics, The University of Chicago
“GAN-MC: a Variance Reduction Tool for Derivatives Pricing”
Statistics Colloquium: Kathryn Roeder
4:30–5:30 pm Jones 303
KATHRYN ROEDER, Department of Statistics, Carnegie Mellon University
“Model-free prediction test and distribution-free independence test for high dimension data with applications to genomics data”
Student Seminar: Xueqing Wei
11:00–11:30 am Via Zoom
Master’s Thesis Presentation
XUEQING WEI, Department of Statistics, The University of Chicago
“Different Methods for Dynamic Extreme Value-at-Risk Estimation”
CAM Colloquium: Nan Chen
4:00–5:00 pm Jones 303
NAN CHEN, Department of Mathematics, University of Wisconsin-Madison
“A Physics-Informed Data-Driven Algorithm for Ensemble Forecast of Complex Turbulent Systems”
Statistics Colloquium: Hongtu Zhu
4:30–5:30 pm Jones 303
HONGTU ZHU, Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina
“Statistical Analysis of Shape Data in Large-Scale Biomedical Studies”
Student Seminar: Zhuoying Huang
11:00–11:30 am Via Zoom
Master’s Thesis Presentation
ZHUOYING HUANG, Department of Statistics, The University of Chicago
“Mark to Market Value at Risk”
DSI Autumn 2022 Distinguished Speaker Series: Stefanie Jegelka
12:00–1:00 pm JCL 390
STEFANIE JEGELKA, X-Consortium Career Development Associate Professor, EECS Massachusetts Institute of Technology
“Understanding Generalization and Improving Invariances in Graph Representation Learning”
DSI Events: Human + AI Conference
9:00 am–5:30 pm JCL 390
This conference brings together diverse perspectives to think about the best way for AI to fit into society and how to develop the best AI for humans.
CAM Colloquium: Benjamin Peherstorfer
4:00–5:00 pm Jones 303
BENJAMIN PEHERSTORFER, Departments of Computer Science, Mathematics (affiliated); Center for Data Science (affiliated), Courant Institute of Mathematical Sciences, New York University
“Neural Galerkin Schemes for Evolution Equations”
Student Seminar: Xuan Lin
2:00–2:30 pm Via Zoom
Master’s Thesis Presentation
XUAN LIN, Department of Statistics, The University of Chicago
“An Application of Dynamic Asymmetric Exponential Power Distributions on Value-at-risk Estimation”