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Statistics Colloquium: Y. Samuel Wang, Asst. Professor, Statistics and Data Science, Cornell University

Confidence Sets for Causal Orderings Presented by Y. Samuel Wang, Asst. Professor, Statistics and Data Science, Cornell University Wednesday, November 13, 2024, 4:00 PM, AUST 202 Webex Meeting Link Coffee will be served at 3:30 pm in the Noether Lounge (AUST 326) Abstract: Causal discovery procedures aim to deduce causal relationships among variables in a […]

Peter Song, Professor, Department of Statistics, School of Public Health, University of Michigan

Statistical Approaches to Addressing Data Science Challenges in Epigenetic Aging Research Presented by Peter Song, Professor, Department of Statistics, School of Public Health, University of Michigan Wednesday, October 30, 2024, 4:00 PM, AUST 202 Webex Meeting Link Coffee will be served at 3:30 pm in the Noether Lounge (AUST 326) Abstract: DNA methylation (DNAm) has […]

Weng Kee Wong, Professor of Biostatistics, University of California at Los Angeles

Particle Swarm Optimization as a general-purpose optimization tool Presented by Weng Kee Wong, Professor of Biostatistics, University of California at Los Angeles Wednesday, October 23, 2024, 4:00 PM, AUST 202 Webex Meeting Link Coffee will be served at 3:30 pm in the Noether Lounge (AUST 326) Abstract: Particle Swarm Optimization (PSO) algorithm is based on […]

Interdisciplinary Seminar: SANDIP SINHARAY, (ETA) RESEARCH INSTITUTE

ASSESSMENT OF FIT OF ITEM RESPONSE THEORY MODELS: FULLINFORMATION AND LIMITED-INFORMATION METHODS, ITEM AND PERSON FIT ANALYSIS, AND BEYOND Presented by SANDIP SINHARAY, (ETA) RESEARCH INSTITUTE Friday, 10/11/2024, 11:15am ET, AUST 110 Virtual: Meeting Link Meeting # 2631 084 2277 Password: RMMESTAT Item response theory (IRT) is one of the central methodological pillars supporting many […]

Statistics Colloquium: Alex Stringer, Assistant Professor, University of Waterloo

Two New Methods for Nonlinear Regression in Epidemiology and Environmental Toxicology Presented by Alex Stringer, Assistant Professor, Statistics and Actuarial Science, University of Waterloo Wednesday, October 16, 2024, 4:00 PM, AUST 202 Webex Meeting Link Coffee will be served at 3:30 pm in the Noether Lounge (AUST 326) I discuss two new methods involving additive […]

UConn/UMass Joint Statistics Colloquium @ UMASS: Mary Salvana, University of Connecticut

Multi- and Mixed-Precision Computations for Spatial and Spatio-Temporal Statistics Presented by Mary Salvana, University of Connecticut Thursday, October 10, 2024 1:30 pm- lunch at 12:45 pm ET Join Zoom Meeting or in-person meeting at UMASS, Lederle Graduate Research Tower (LGRT) – room 1685 Zoom Meeting Link Meeting ID: 975 2634 3811 Passcode: 188450 Computational statistics […]

Interdisciplinary Seminar: Dr. Kenneth A. Bollen, University of North Carolina, Chapel Hill

An Overview of Latent Growth Curve Models in Longitudinal Studies of Aging Presented by Dr.Kenneth A. Bollen, University of North Carolina, Chapel Hill Friday, September 27th, 2024, 12:00pm-1:00pm ET In-Person: ASB Administrative Services Building, 2nd Floor, Center on Aging Conference Room, UConn Health Center Virtual: Meeting Link Meeting # 276 939 196 348 Password: FkqaGk […]

Statistics Colloquium: Babette Brumback, Professor Emerita, University of Florida

Interesting Statistical Lessons in Providing Real World Evidence that the ensoETM Device Protects the Esophagus from Thermal Injury During Radiofrequency Ablation Presented by Babette Brumback, PhD Professor Emerita, Department of Biostatistics University of Florida Wednesday, September 25, 2024, 4:00 PM, AUST 202 Webex Meeting Link Coffee will be served at 3:30 pm in the Noether Lounge […]

UCONN STAT Colloquium Series : Haim Bar and Vladimir Pozdnyakov, University of Connecticut

High Dimensional Space Oddity Presented by Assocaite Professor Haim Bar and Professor Vladimir Pozdnyakov, Department of Statistics, University of Connecticut Wednesday, September 18, 2024 4:00 PM-5:00 PM ET Online Meeting Webex Meeting Link In his 1996 paper, Talagrand highlighted that the Law of Large Numbers (LLN) for independent random variables can be viewed as a […]

Statistics Colloquium: Mengyang Gu, University of California, Santa Barbara

Fast ab initio uncertainty quantification and data inversion for dynamical systems Presented by Mengyang Gu, Department of Statistics and Applied Probability University of California, Santa Barbara Wednesday, September 11, 2024 4:00 PM AUST 202 Webex Meeting Link Coffee will be served at 3:30 pm in the Noether Lounge (AUST 326) Estimating parameters from data is […]