Statistics and Data Science Seminar - Spring 2024
Usually meets Wednesday at 4:00 pm in SEO 636.
| Date | Speaker | Title |
|---|---|---|
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January 10
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January 17
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January 24
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January 31
(4:00 pm; 636 SEO)
|
Wenxin Zhou
University of Illinois at Chicago |
Expected Shortfall Regression and Its Applications |
|
February 7
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February 14
(4:00 pm; Zoom)
|
Moontae Lee
University of Illinois at Chicago |
The Art of Generative AI |
|
February 21
(4:00 pm; Zoom)
|
Hyo Young Choi
University of Tennessee |
High-dimensional Transformation of Single Transcript Measurements for Identifying Structural Variants in Cancer |
|
February 28
|
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March 6
(4:00 pm; 636 SEO)
|
Dehan Kong
University of Toronto |
Causal Inference on Distribution Functions |
|
March 13
(4:00 pm; 636 SEO)
|
Yongzhao Shao
New York University |
Causal inference on biological clocks as personalized biomarkers for Alzheimer’s disease |
|
March 20
|
No seminar
|
Spring Break |
|
March 27
(4:00 pm; 636 SEO)
|
Yiou Li
DePaul University |
A Maximin Φp-Efficient Design for Multivariate Generalized Linear Models |
|
April 3
(4:00 pm; 636 SEO)
|
Hsin-Hsiung Huang
University of Central Florida |
High-dimensional modeling and computation challenges and solutions via Bayesian ultrahigh dimensional variable selection and manifold-constrained optimization |
|
April 10
(4:00 pm; 636 SEO)
|
Thomas Mathew
University of Maryland at Baltimore County |
Cost-effectiveness analysis: A statistical overview |
|
April 17
(4:00 pm; 636 SEO)
|
Lin Wang
Purdue University |
Subsampling for Big Data Regression with Measurement Constraints |
|
April 24
(4:00 pm; 636 SEO)
|
Hong Li
Takeda Pharmaceutical Company |
TBA |