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 […]
Events
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 […]
Statistics Colloquium: Fabrizio Ruggeri, CNR-IMATI, Adversarial Classification
Title: Adversarial Classification Presented by Fabrizio Ruggeri, Senior Fellow, CNR-IMATI. DATE: Friday, March 6, 2026, 12:00 PM, AUST 434 Meeting Link: WebEx link Abstract: In multiple domains such as malware detection, automated driving systems, or fraud detection, classification algorithms are susceptible to being attacked by malicious agents willing to perturb the value of instance covariates in […]
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 Professor, 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) […]