Statistics Colloquium: Analogy-based inference: a universal school of statistical inference Presented by Jamie Bowater, Research Fellow, Department of Public Health and Sports Sciences, University of Exeter, England DATE: Friday, October 3, 2025, 10:00 AM. Virtual Presentation Webex Link: Link Abstract: Standard statistical theory has arguably proved to be unsuitable as a basis for constructing a […]
Events
RMME/STAT Interdisciplinary talk – Prof. Gregory R. Hancock, University of Maryland, Power Analysis Has Lost Its Way: New Methods To Bring It Back Home
RMME/STAT Interdisciplinary talk – Power Analysis Has Lost Its Way: New Methods To Bring It Back Home Presented by Prof. Gregory R. Hancock, Director, Quantitative Methodology, Measurement and Statistics graduate program, University of Maryland Date: Friday 9/26, 11AM, AUST 108 WebEx: TBD Coffee will be available at 10:30 AM in the Noether Lounge (AUST 326) […]
Statistics Colloquium: Hajime Uno, Associate Professor, Harvard University, Survival Data Analysis Using Average Hazard with Survival Weight
Statistics Colloquium: Survival Data Analysis Using Average Hazard with Survival Weight Presented by: Hajime Uno, Associate Professor, Department of Biostatistics, Harvard T.H. Chan School of Public Health Date: Wednesday, September 17, 2025, 4:00 PM, AUST 434 Meeting Link: Link Coffee will be served at 3:30 in the Noether Lounge (AUST 326) Abstract: Hazard ratios from […]
Statistics Colloquium: Zhe Zhu, Associate Professor, UConn, Connecting the dots: a statistical framework for land change science using dense satellite time series
Statistics Colloquium: Connecting the dots: a statistical framework for land change science using dense satellite time series Presented by: Zhe Zhu, Associate Professor of Remote Sensing, Department of Natural Resources & the Environment, University of Connecticut Date: Friday, September 5, 2025, 10:00 AM, AUST 247 Meeting Link: Link Coffee will be available at 9:30 in […]
DahShu 2025 will be held in UConn during October 16-18, 2025
DahShu 2025 will be held in UConn during October 16-18, 2025! The 2025 DahShu Data Science Symposium at the University of Connecticut promises to be an exceptional event for anyone interested in the forefront of AI, data science, and their applications in biomedical research and healthcare. This two-day symposium on October 16-17, 2025—with short courses […]
Professor Xingche Guo awarded FY25 Research Excellence Program Award from UConn for his proposal entitled ‘Robust Causal Inference for Functional Responses via Double Machine Learning’
Professor Xingche Guo awarded FY25 Research Excellence Program Award from UConn for his proposal entitled ‘Robust Causal Inference for Functional Responses via Double Machine Learning’
Professor Wenrui Li awarded FY25 Research Excellence Program Award from UConn for her proposal entitled ‘Federated Causal Inference under Inference’
Professor Wenrui Li awarded FY25 Research Excellence Program Award from UConn for her proposal entitled ‘Federated Causal Inference under Inference’
2025 ICSA Applied Statistics Symposium, June 15 – June 18, 2025, UConn
2025 ICSA Applied Statistics Symposium will be held at UConn from June 15, 2025 to June 18, 2025. If you are interested in this symposium, click here for more information: https://symposium2025.icsa.org/
Paper of the Month: May 2025
Once a month during the academic year, the statistics faculty select a paper for our students to read and discuss. Papers are selected based on their impact or historical value, or because they contain useful techniques or results. MPCR: Multi- and Mixed-Precision Computations Package in R Prof. Mary Lai Salvana Paper: https://arxiv.org/abs/2406.02701 Friday, May 2, 12:00 […]
Statistics Colloquium: Trevor Harris, Assistant Professor, UConn, Localized Conformal Inference for Operator Models
Statistics Colloquium: Localized Conformal Inference for Operator Models Presented by: Trevor Harris, Assistant Professor, Department of Statistics, University of Connecticut Date: Wednesday, April 30, 2025, 4:00 PM, AUST 202 Meeting Link: Link Coffee will be served at 3:30 in the Noether Lounge (AUST 326) Abstract: Operator models are regression algorithms between spaces of functions and […]