Recent Lessons on Mixing Mail and Web Data Collection Modes in Household Surveys Presented by Kristen Olson, University of Nebraska-Lincoln Friday, Dec 6th 11-12pm online Webex Meeting Link Meeting # 2863 522 0260 Password: RMMESTAT Abstract: Survey designs are increasingly incorporating self-administered modes – namely mail and web – to counter decreasing response rates and […]
Events
Dongyuan Song, Asst. Professor, Department of Genetics and Genome Sciences, University of Connecticut School of Medicine
Synthetic control removes spurious discoveries from double dipping in scRNA-seq post-clustering analyses Presented by Dongyuan Song, Asst. Professor, Department of Genetics and Genome Sciences, University of Connecticut School of Medicine Wednesday, December 4, 2024, 4:00 PM, AUST 202 Coffee will be served at 3:30 in the Noether Lounge (AUST 326) Webex Meeting Link Abstract: In […]
Interdisciplinary Seminar: Dr.Pascal R. Deboeck, University of Utah
Effects across time to modeling states of a system: a dynamical systems perspective on modeling social science data Presented by Dr.Pascal R. Deboeck, University of Utah Friday, Nov.15, 2024, 11:00am, ET Join by WebEX: https://tinyurl.com/rmme-Deboeck Meeting # 2861 631 2684 Password: RMMESTAT Join by video system: Dial 28616312684@uconn-cmr.webex.com You can also dial 173.243.2.68 + enter […]
Statistics Colloquium: Tumulesh Solanky, University of New Orleans, Distinguished Alumni Award
Recipient of the 2024 UConn Statistics Department Distinguished Alumnus Award Some issues related to implementation and generalization of the partition problem formulations for normal populations Presented by Tumulesh Solanky, Chair and Professor, Department of Mathematics, The University of Louisiana System Foundation and Michael and Judith Russel Professor in Data Science/Computational Sciences, University of New Orleans […]
Statistics Colloquium: Apratim Dey, PhD Student, Department of Statistics, Stanford University
Compressive Sensing with Stein Shrinkage Presented by Apratim Dey, PhD Student, Department of Statistics, Stanford University Wednesday, November 6, 2024, 4:00 PM, AUST 202 Webex Meeting Link Coffee will be served at 3:30 pm in the Noether Lounge (AUST 326) Abstract: We live in an era where sensors, radars and satellites all around us are […]
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 […]