Events

Statistics Colloquium: Lucas Da Cunha Godoy, Postdoctoral Researcher, University of California, Santa Cruz

Title: Set-indexed random fields: Theory and practice Presented by Lucas Da Cunha Godoy, Postdoctoral Researcher, University of California, Santa Cruz. DATE: Friday, February 6, 2026, 10:00 AM, AUST 434 Meeting Link: WebEx link Coffee will be available at 9:30 AM in the Noether Lounge (AUST 326) Abstract: Many modern spatial analyses involve observations recorded over spatial […]

Interdisciplinary Seminar: Luke Miratrix, Professor, Harvard University, The many choices for estimating Treatment Effects in Blocked, Cluster-Randomized Trials

Title: The many choices for estimating Treatment Effects in Blocked, Cluster-Randomized Trials Presented by Luke Miratrix, Professor, Harvard University. DATE: Friday, January 30, 2026, 11AM, Gentry 144 Meeting Link: WebEx link Students are invited to a lunch with Dr. Miratrix after the talk. This lunch will also be held in Gentry 144. If you would like […]

Statistics Colloquium: Zan Li, Nankai University, Statistical Inference of Reliability for Lifetime Delayed Degradation Process with Heterogeneity

Title: Statistical Inference of Reliability for Lifetime Delayed Degradation Process with Heterogeneity Presented by Zan Li, Assistant Professo, Nankai University. DATE: Wednesday, January 28, 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: In industrial statistics, degradation models constitute a fundamental class […]

Statistics Colloquium: Michelle Riordan-Nold, Executive Director, CTData, From Public Data to Insight: CTData Makes Sense of Data

Title: From Public Data to Insight: CTData Makes Sense of Data Presented by Michelle Riordan-Nold, Executive Director of the Connecticut Data Collaborative (CTData). DATE: Wednesday, January 21, 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: Michelle Riordan-Nold, Executive Director of the […]

Statistics Colloquium: Shuangge Ma, Professor, Yale University, Cancer Human Disease Networks (cHDNs) via Deep Learning SEER-Medicare

Title: Cancer Human Disease Networks (cHDNs) via Deep Learning SEER-Medicare Presented by Shuangge Ma, Professor, Yale School of Public Health DATE:  Friday, December 5, 2025, 10:00 AM, AUST 247 Meeting Link: WebEx link Coffee will be available at 9:30 AM in the Noether Lounge (AUST 326) Abstract: Cancer patients often also suffer from other disease […]

Statistics Colloquium: Alden Green, Assistant Professor, Johns Hopkins University, The High-Dimensional Asymptotics of Principal Components Regression

Title: The High-Dimensional Asymptotics of Principal Components Regression Presented by Alden Green, Assistant Professor, Department of Applied Mathematics and Statistics, Johns Hopkins University DATE:  Wednesday, October 22, 2025, 3:30 PM, AUST 434 WebEx link: Link Coffee will be available at 3:00 PM in the Noether Lounge (AUST 326) Abstract: We study principal components regression (PCR) […]

Statistics Colloquium: Lin Wang, Assistant Professor, Purdue University, Influence-Guided Subsampling under Measurement Constraints

Title: Influence-Guided Subsampling under Measurement Constraints Presented by Lin Wang, Assistant Professor, Department of Statistics, Purdue University DATE:  Wednesday, October 15, 2025, 3:30 PM, AUST 434 Webex link: Link  Coffee will be available at 3:00 in the Noether Lounge (AUST 326) Abstract: Collecting labels for every point in a large dataset is often impractical due […]

Statistical Colloquium: Spencer Wadsworth, Postdoctoral Scholar, University of Connecticut, Constructing a Disease Outbreak Forecast Ensemble via Bayesian Gibbs Posterior Stacking

Title: Constructing a Disease Outbreak Forecast Ensemble via Bayesian Gibbs Posterior Stacking Presented by Spencer Wadsworth, Postdoctoral Scholar, University of Connecticut DATE:  Wednesday, October 8, 2025, 3:30 PM, AUST 434 Webex link: Link  Coffee will be available at 3:00 in the Noether Lounge (AUST 326) Abstract: In collaborative forecast projects, the combining of multiple probabilistic […]

Statistics Colloquim: Jamie Bowater, Research Fellow, University of Exeter, Analogy-based inference: a universal school of statistical inference

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 […]