Past Events

2022

Joonsuk Kang, PhD Student

Student Seminar: Joonsuk Kang

1:30–3:00 pm Jones 304

Dissertation Proposal Presentation
JOONSUK KANG, Department of Statistics, The University of Chicago
“Learning Meaningful Representations of Data with Empirical Bayes Methods”

Nov 16
Will Fithian, University of California, Berkeley

Statistics Colloquium: Will Fithian

4:30–5:30 pm Jones 303

WILL FITHIAN, Department of Statistics, University of California, Berkeley
“Conditional calibration: controlling FDR under dependence, uniformly improving knockoffs, and estimating model selection FDR”

Nov 14
Jordan Boyd-Graber

DSI Autumn 2022 Distinguished Speaker Series: Jordan Boyd-Graber

12:00–1:30 pm JCL 390

This talk will also be broadcast via Zoom. Please register to receive viewing information.

JORDAN BOYD-GRABER, University of Maryland
“If We Want AI to be Interpretable, We Need to Define and Measure It”

Nov 11
Benjamin Recht, Department of Electrical Engineering and Computer Science, University of California, Berkeley

CAM Colloquium: Benjamin Recht

4:00–5:00 pm Jones 303

BENJAMIN RECHT, Department of Electrical Engineering and Computer Science, University of California, Berkeley
“Steampunk Data Science”

Nov 10
Weishi Wang, MS Student

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”

Nov 8
Kathryn Roeder, Carnegie Mellon University

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”

Nov 7
Xueqing Wei, MS Student

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”

Nov 7
Nan Chen, University of Wisconsin-Madison

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”

Nov 3
Hongtu Zhu, University of North Carolina

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”

Oct 31
Zhuoying Huang, Master's Thesis Presentation

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”

Oct 31