Author: Mingye

Makuch Distinguished Lecture: Hongtu Zhu, UNC, Computation and Resource Efficient Genome-Wide Association Analysis for Large-Scale Imaging Studies

Presented by Hongtu Zhu, Kenan Distinguished Professor of Biostatistics, Statistics, Radiology, Computer Science & Genetics, Department of Biostatistics, University of North Carolina, Gillings School of Global Public Health AUST 202, Wednesday, April 9, 2025, 4:00 PM-5:00 PM Webex Meeting Link Abstract: Imaging genetics links genetic variations to brain structures and functions, but the computational challenges […]

Statistical Colloquium: A systematic design construction and analysis for cost-efficient order-of-addition experiment, Frederick Kin Hing Phoa, Institute of Statistical Science, Taiwan

Presented by Frederick Kin Hing Phoa, Research Fellow, Institute of Statistical Science, Academia Sinica, Taipei, Taiwan Joint work with Jing-Wen Huang, Institute of Statistics, National Tsing Hua University, Hsinchu, Taiwan Friday, April 11, 2025, 10:00 AM, AUST 340 Coffee will be served at 9:30 in the Noether Lounge (AUST 326) Webex Meeting Link Abstract: In […]

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 […]