Statistics and Data Science Seminar - Spring 2024

Usually meets Wednesday at 4:00 pm in SEO 636.
DateSpeakerTitle
January 10
January 17
January 24
January 31
(4:00 pm; 636 SEO)
Wenxin Zhou
University of Illinois at Chicago
Expected Shortfall Regression and Its Applications
February 7
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
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)
Kyunghee Han
UIC
Statistics Annual Ceremony
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