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Statistics Colloquium: Kylie Anglin, Assistant Professor, University of Connecticut, Improving the Alignment between Human and Large Language Model Classifications: An Empirical Assessment of Prompt Engineering for Construct Identification

Title: Improving the Alignment between Human and Large Language Model Classifications: An Empirical Assessment of Prompt Engineering for  Construct Identification Presented by Kylie Anglin, Assistant Professor, Research Methods, Measurement, and Evaluation, Department of Educational Psychology, University of Connecticut Date:  Friday, November 7, 2025, 1:00 PM, AUST 344 Link: WebEx Link Coffee will be available at […]

RMME/STAT Interdisciplinary talk: Chuck Huber, StatCorp, Item Response Theory (IRT), Introduction to Bayesian Statistics, Bayesian IRT, & Machine Learning in Stata

Title: Item Response Theory (IRT), Introduction to Bayesian Statistics, Bayesian IRT, & Machine Learning in Stata presented by Chuck Huber, StatCorp Date: Friday, 10/24/25, 10am – 3pm, ET, HALL 104. Meeting Link: Link WebEx Meeting Number: 2633 977 5419. Password: RMMESTAT   Abstract: Item Response Theory: In this talk, I introduce the concepts and jargon […]

Joint UConn-UMass STATISTICS COLLOQUIUM, Carlos Soto, University of Massachusetts, Amherst, Differential Privacy over Riemannian Manifolds

Presented by Carlos Soto, Assistant Professor, Department of Mathematics and Statistics, University of Massachusetts, Amherst March 26, 2025, 4:00 pm, AUST 202 Coffee will be served at 3:30 in the Noether Lounge (AUST 326) Webex Meeting Link Abstract: In this work we consider the problem of releasing a differentially private statistical summary that resides on […]

Joint Colloquium with UConn Health: SyNPar: A Data-Preservation Framework for High-Power False Discovery Rate Control in High-Dimensional Variable Selection, Jingyi (Jessica) Li, UCLA

Presented by Jingyi Jessica Li, Professor, Department of Biostatistics, UCLA Fielding School of Public Health Wednesday, March 12, 2025, 4:00 PM, AUST 202 Coffee will be served at 3:30 in the Noether Lounge (AUST 326) Webex Meeting Link Abstract: Balancing false discovery rate (FDR) control and statistical power is a fundamental challenge in high-dimensional variable […]

Yingfa Xie won a student paper award from Lifetime Data Science (LiDS) Section of the American Statistical Association

Yingfa Xie won a student paper award from Lifetime Data Science (LiDS) Section of the American Statistical Association. In this student paper competition, He submitted a paper entitled “Recurrent Events Modeling Based on a Reflected Brownian Motion with Application to Hypoglycemia.”, which is worked with Dr. Haoda Fu, Prof. Yuan Huang, Prof. Vladimir Pozdnyakov and […]