Author: Mingye

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 […]

Statistics Colloquium: Nonparametric Neighborhood Selection in Graphical Models, Yuedong Wang, Professor, University of California, Santa Barbara

Presented by Yuedong Wang, Professor, Department of Statistics & Applied Probability, University of California, Santa Barbara Wednesday, April 2, 2025, 4:00 PM, AUST 202 Coffee will be served at 3:30 in the Noether Lounge (AUST 326) Webex Meeting Link Abstract: The neighborhood selection method directly explores the conditional dependence structure and has been widely used […]

Sydney Louit, ’ PhD student has been selected as a winner of the ASA sponsored SPES-Q&P Student Paper Competition.

Sydney Louit, ’ PhD student has been selected as a winner of the ASA sponsored SPES-Q&P Student Paper Competition. Congratulations! Sydney Louit’s paper “CALF-SBM: A Covariate-Assisted Latent Factor Stochastic Block Model” has been selected as a winner of the SPES-Q&P Student Paper Competition. Award winners are invited to present their research in a special topic-contributed session at JSM 2025 […]

Prof. Neil Spencer awarded Makuch Faculty Fund Award in Mathematical Sciences

We are delighted to announce that Neil Spencer, Assistant Professor in Statistics, has been named the new Makuch Faculty Fellow (January 2025-December 2026). This fellowship was instituted through a generous donation from Robert Makuch (’72 CLAS). Neil Spencer, PhD in Statistics and Machine Learning from Carnegie Mellon University, specializes in robust Bayesian inference, network science, […]