Events

Statistics Colloquium, Suman Majumdar from UConn, Stamford; A cannon is not necessary to kill a fly

A cannon is not necessary to kill a fly Presented by: Suman Majumdar, Associate Professor University of Connecticut, Stamford Date: Wednesday, April 16, 2025, 4:00 PM, AUST 202 Meeting Link: Link Coffee will be served at 3:30 in the Noether Lounge (AUST 326) Abstract: How the existing literature maximizes the two-parameter Normal likelihood, both in […]

Sudipto Banerjee, UCLA, Recipient of the 2024 UConn Statistics Department Distinguished Alumnus Award

Presented by Sudipto Banerjee, Senior Associate Dean for Academic Programs, UCLA Fielding School of Public Health, University of California, Los Angeles Recipient of the 2024 UConn Statistics Department Distinguished Alumnus Award Assessing Spatial Disparities in Disease Maps Wednesday, April 23, 2025, 4:00 PM, AUST 202 Webex Meeting Link Coffee will be served at 3:30 in […]

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 […]

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 […]

Interdisciplinary Seminar: Dr. Walter Dempsey, University of Michigan

Challenges in Time-Varying Causal Effect Moderation Analysis in Mobile Health Presented by Walter Dempsey, University of Michigan Friday, 24/01/25, 11am, ET Online Webex Meeting Link Meeting # 2633 697 8890 Password: RMMESTAT Abstract: Twin revolutions in wearable technologies and smartphone-delivered digital health interventions have significantly expanded the accessibility and uptake of mobile health (mHealth) interventions […]

Statistics Colloquium: Haihan Yu, University of Rhode Island, A practical interval estimation method for spectral density function

A practical interval estimation method for spectral density function Presented by Haihan Yu, University of Rhode Island Wednesday, January 29, 2025, 4:00 PM, AUST 202 Webex Meeting Link  Abstract: The spectral density function can play a key role in time series analysis, where nonparametric interval estimation of the spectral density is a fundamental issue. However, […]

Interdisciplinary Seminar: Kristen Olson, University of Nebraska-Lincoln

Recent Lessons on Mixing Mail and Web Data Collection Modes in Household Surveys Presented by Kristen Olson, University of Nebraska-Lincoln Friday, Dec 6th 11-12pm online Webex Meeting Link Meeting # 2863 522 0260 Password: RMMESTAT Abstract: Survey designs are increasingly incorporating self-administered modes – namely mail and web – to counter decreasing response rates and […]

Dongyuan Song, Asst. Professor, Department of Genetics and Genome Sciences, University of Connecticut School of Medicine

Synthetic control removes spurious discoveries from double dipping in scRNA-seq post-clustering analyses Presented by Dongyuan Song, Asst. Professor, Department of Genetics and Genome Sciences, University of Connecticut School of Medicine Wednesday, December 4, 2024, 4:00 PM, AUST 202 Coffee will be served at 3:30 in the Noether Lounge (AUST 326) Webex Meeting Link Abstract: In […]