Probability, Statistics, and Data Science

Probability, Statistics, and Data Science is a broad field in developing novel probabilistic models, designing statistical methodologies, and applying cutting-edge data science techniques to solve real-world problems.  The research group in MSCS has particular interests in Probability Theory and Stochastic Analysis, Functional Data Analysis, Non- and Semi-Parametric Methods, Bioinformatics, High Dimensional Statistical Inference, Optimal Designs, Machine Learning, and Big Data Analysis.

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Feb 12 2025

Statistics and Data Science Seminar: Optimal Exact Design of Experiments: Challenges and Approaches, by Radoslav Harman

Wednesday, 4:00 pm–4:50 pm
Zoom
Feb 26 2025

Statistics and Data Science Seminar: TBA, by Huiling Liao

Wednesday, 4:00 pm–4:50 pm
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Mar 19 2025

Statistics and Data Science Seminar: TBA, by Tong Chen

Wednesday, 4:00 pm–4:50 pm
Zoom
Apr 2 2025

Statistics and Data Science Seminar: TBA, by Ryan Lekivetz

Wednesday, 4:00 pm–4:50 pm
636 SEO
Apr 9 2025

Statistics and Data Science Seminar: TBA, by Kai Zhang

Wednesday, 4:00 pm–4:50 pm
636 SEO
Apr 16 2025

Statistics and Data Science Seminar: TBA, by Nan Xi

Wednesday, 4:00 pm–4:50 pm
636 SEO
Apr 23 2025

Statistics and Data Science Seminar: Volatility Index (VIX) in the Science Fictional Options Universe, by Gilbert W. Bassett

Wednesday, 4:00 pm–4:50 pm
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Apr 30 2025

Statistics and Data Science Seminar: TBA, by Yan Sun

Wednesday, 4:00 pm–4:50 pm
636 SEO