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Volodymyr Minin Elected Fellow of American Statistical Association

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October8
Statistics Seminar Series

From Data to Formulas: Statistical Learning for Scalable Symbolic Discovery

Meng Li
Associate Professor, Dept. of Statistics, Rice University
4:00 PM
6011, Donald Bren Hall

Abstract: Symbolic discovery, or learning compact mathematical expressions from data, offers a form of interpretability in which the fitted model is itself a scientific statement.…

October22
Statistics Seminar Series

From Data to Decisions: Reinforcement Learning and Generative AI for Precision Medicine

Yanxun Xu
Professor, Joseph & Suzanne Jenniches Faculty Scholar Applied Mathematics and Statistics, Data Science & AI Institute, Johns Hopkins University
4:00 PM
6011, Donald Bren Hall

Abstract: Precision medicine aims to transform complex patient data and clinical knowledge into individualized treatment decisions. However, this remains challenging when treatments are sequential, patient…

October29
Statistics Seminar Series

Bayesian Smoothing and Feature Selection via Variational Automatic Relevance Determination

Feng Liang
Professor, Dept. of Statistics, University of Illinois Urbana-Champaign
8:00 AM
6011, Donald Bren Hall

Abstract: This study introduces Variational Automatic Relevance Determination (VARD), a novel approach for fitting sparse additive regression models in high-dimensional settings. VARD stands out by…

November5
Statistics Seminar Series

Learning-Assisted Inference in High Dimensions: Wasserstein Two-Sample Testing

Zhenhua Lin
Dean's Chair Associate Professor, Department of Statistics and Data Science, National University of Singapore
4:00 PM
6011, Donald Bren Hall

Abstract: Two-sample testing is a fundamental problem in statistics, but detecting general distributional differences becomes increasingly challenging in high dimensions, where classical distance-based methods can…

November10
Statistics Seminar Series

A Multilayer Network Model for Aggregated Relational Data

Maggie Xiaoyue Niu
Professor, Dept. of Statistics, Penn State University
4:00 PM
2011, Donald Bren Hall

Abstract: The Network Scale-Up Method (NSUM) is a vital tool for estimating the sizes of hard-to-reach populations using Aggregated Relational Data (ARD). Recent advancements in…

November19
Statistics Seminar Series

Rating Competitors in Games with Strength-dependent Tie Probabilities

Mark Glickman
Senior Lecturer on Statistics, Harvard University
4:00 PM
6011, Donald Bren Hall

Abstract: Competitor rating systems for head-to-head games are typically used to measure playing strength from game outcomes. Ratings computed from these systems are often used…

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