2022
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”
DSI Postdoc Series: Christine Carpenter
9:00–10:00 am JCL 390
CHRISTINE CARPENTER, University of Chicago Booth School of Business
“Developing Effective Leadership in Academia”
Student Seminar: Zexuan Zhang
1:00–1:30 pm Via Zoom
Master’s Thesis Presentation
ZEXUAN ZHANG, Department of Statistics, The University of Chicago
“Prediction of Return at Different Stock Levels”
DSI Events: Information Session: Master of Science in Analytics
12:00–1:00 pm Online
Become a leader in the analytics community. Join us online on October 26 as we discuss our curriculum as well as take a look inside our application process.
Statistics Colloquium: Zongming Ma
4:30–5:30 pm Jones 303
ZONGMING MA, Department of Statistics and Data Science, the Wharton School, University of Pennsylvania
“Matching and integration of datasets with low-rank signals and applications in single-cell data analysis”
CAM Colloquium: Fruzsina Agocs
4:00–5:00 pm Jones 303
FRUZSINA AGOCS, Center for Computational Mathematics within the Flatiron Institute
“An Adaptive Spectral Method for Highly Oscillatory ODEs with Frequency-independent Cost”
Student Seminar: Jiani Song
2:00–2:30 pm Via Zoom
Master’s Thesis Presentation via ZOOM
JIANI SONG, Department of Statistics, The University of Chicago
“Difference Approaches for VaR Estimation: Relative Performance in Three Emerging Asian Markets”
Student Seminar: Michelle Li
11:00–11:30 am Via Zoom
Master’s Thesis Presentation
MICHELLE LI, Department of Statistics, The University of Chicago
“Trajectory Exploration and Inference for scRNA-seq Data on Whole versus Endpoints Only Trajectories”
Statistics Colloquium: Philippe Rigollet
4:30–5:30 pm Jones 303
PHILIPPE RIGOLLET, Department of Mathematics, Massachusetts Institute of Technology
“The sample complexity of learning transport maps”