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. Diffusion Models Prof. Xingche Guo Friday, October 23 Austin 326 Noon to 1:00 PM AUST 326 Webex […]
Events
Statistics Colloquium: Assessing Responder Analyses for Patient- Reported Outcomes: Maximum Responder Threshold and Effect, by Joseph C. Cappelleri(Pfizer; University of Connecticut)
Title: Assessing Responder Analyses for Patient-Reported Outcomes: Maximum Responder Threshold and Effect Speaker: Joseph C. Cappelleri, executive director of biostatistics at Pfizer Inc and adjunct professor of statistics at the University of Connecticut. Time: Wednesday, October 21, 3:30pm, Austin 313. Link: https://teams.microsoft.com/meet/278035717198411?p=7rpRj5tHFgKYCtcTVV Abstract: Continuous outcomes are frequently dichotomized to classify subjects as “responders” or “nonresponders” […]
Statistics Colloquium: From Stationary Points to Global Structure: Constrained Maximum Likelihood Estimation and Haplotype Phasing, by Derek Aguiar (UConn)
Title: From Stationary Points to Global Structure: Constrained Maximum Likelihood Estimation and Haplotype Phasing Speaker: Derek Aguiar, Associate Professor, School of Computing, University of Connecticut Time: 3:30 PM – 4:30 PM, Austin 105, Wednesday, September 30, 2026 Meeting Link: Teams link:https://teams.microsoft.com/meet/252251855569733?p=a6KfgGFRHzUozTnHL0 Coffee will be available at 3:00 PM in the Noether Lounge (AUST 326) Abstract: […]
Statistics Colloquium: Is There an AI Bubble? Robust Date-Stamping for Periods of Exuberance, by Abir Sakar (Cornell)
Title: Is There an AI Bubble? Robust Date-Stamping for Periods of Exuberance Speaker: Abir Sakar, Ph.D Student, Cornell University Time: 3:30 PM – 4:30 PM, Austin 313 Coffee, meet and greet: 3:00 PM, Austin 326 Link: Teams Link, Meeting ID: 231 368 937 955 092, Passcode: hy97X4Ym Abstract: The recent surge in valuations of firms […]
Statistics Colloquium: Min Jung Kim, UConn Health, From Prediction to Explanation: Explainable Machine Learning for 30-Day Heart Failure Readmission
Title: From Prediction to Explanation: Explainable Machine Learning for 30-Day Heart Failure Readmission Presented by Minjung Kim, University of Connecticut School of Medicine DATE: Wednesday, April 29, 2026, 3:30 PM, AUST 434 Meeting Link: WebEx link Coffee will be available at 3:00 PM in the Noether Lounge (AUST 326) Bio: Minjung Kim, PhD, is a faculty […]
Statistics Colloquium: Rongwei (Rochelle) Fu, Oregon Health & Science University-Portland State University, Impactful Collaborative Research: From rhBMP-2 to Ferabright™
Title: Impactful Collaborative Research: From rhBMP-2 to Ferabright™ Presented by Rongwei (Rochelle) Fu, Professor of Biostatistics, Oregon Health & Science University-Portland State University Recipient of the 2025 UConn Statistics Department Distinguished Alumnus Award DATE: Wednesday, April 22, 2026, 3:30 PM, AUST 434 Meeting Link: WebEx link Coffee will be available at 3:00 PM in the Noether […]
UConn/UMass Joint Colloquium: Aaron Sarvet, Assistant Professor, UMass, The outperformance of machine learning by human intuition: resolving a paradox with unmeasured confounding
Title: The outperformance of machine learning by human intuition: resolving a paradox with unmeasured confounding Presented by Aaron Sarvete, Assistant Professor; University of Massachusetts, Amherst DATE: Wednesday, April 15, 2026, 3:30 PM, AUST 434 Meeting Link: WebEx link Coffee will be available at 3:00 PM in the Noether Lounge (AUST 326) Bio: Dr. Sarvet is an […]
Robert W. Makuch Distinguished Lecture in Biostatistics: Bhramar Mukherjee, Professor, Yale University, The Importance of Statistical Thinking in an AI-Augmented World
Title: The Importance of Statistical Thinking in an AI-Augmented World Presented by Bhramar Mukherjee, Anna M.R. Lauder Professor of Biostatistics and inaugural Senior Associate Dean of Public Health Data Science and Data Equity, Yale University DATE: Wednesday, April 8, 2026, 3:30 PM, AUST 434 Meeting Link: WebEx link Coffee will be available at 3:00 PM in […]
Statistics Colloquium: Yichi Zhang, Assistant Professor, Indiana University Bloomington, Random-walk Debiased Contextual Preference Inference for Large Language Model Evaluation
Title: Random-walk Debiased Contextual Preference Inference for Large Language Model Evaluation Presented by Yichi Zhang, Assistant Professor, Indiana University Bloomington DATE: Friday, April 3, 2026, 10:00 AM, AUST 313 Meeting Link: WebEx link Coffee will be available at 9:30 AM in the Noether Lounge (AUST 326) Abstract: Various large language models, such as ChatGPT, Claude, Llama, […]
Statistics Colloquium: Dingyi Wang, Chinese Academy of Sciences, Stratification and Antithetic Mechanisms for Subsampling
Title: Stratification and Antithetic Mechanisms for Subsampling Presented by Dingyi Wang, Chinese Academy of Sciences DATE: Wednesday, March 25, 2026, 3:30 PM, AUST 434 Meeting Link: WebEx link Coffee will be available at 3:00 PM in the Noether Lounge (AUST 326) Abstract: Massive datasets present computational challenges for statistical estimation, making subsampling a critical tool for […]