“Copula-Based Approaches for Analyzing Non-gaussian Spatial Data,” presented by Judy Huixia Wang, Chair and Professor, Department of Statistics, Washington University
News
The 28th Pfizer Colloquium
“Some Glimpses of Small Area Estimation,” presented by Malay Ghosh, Distinguished Professor of the Department of Statistics at the University of Florida.
Statistics Colloquium: Reuben Retnam, Takeda Pharmaceuticals
“A ‘Divide-and-Conquer’ AECM Algorithm for Large non-Gaussian Longitudinal Data with Irregular Follow-Ups, presented by Reuben Retnam, Takeda Pharmaceuticals
Garrett Frady Recognized by ISBA for Poster Presentation
Ph.D. student Garrett Frady won 3rd place in the poster presentations at the 2022 International Society for Bayesian Analysis conference.
Jun Yan, Kun Chen and Elizabeth Schifano Received an NSF Grant
Jun Yan, Kun Chen, Elizabeth Schifano, Laura J. Burton and Robert A. Huggins have been awarded an NSF grant (DMS-2219336). Start date: September 1, 2022. End date: August 31, 2025.
Kun Chen and Colleague Received an NSF Grant
Kun Chen , Jing Zhao from UConn Department of Chemistry have been awarded an NSF grant (CHE-2203854). Start date: September 1, 2022. End date: August 31, 2025.
Statistics Colloquium: Scott Bruce, Texas A&M University
“Interpretable Classification of Categorical Time Series Using the Spectral Envelope and Optimal Scalings,” presented by Scott Bruce, Assistant Professor, Department of Statistics, Texas A & M University
Paper of the Month: September 2022
Belkin, M., Hsu, D., Ma, S., & Mandal, S. (2019). Reconciling modern machine-learning practice and the classical bias–variance trade-off. Proceedings of the National Academy of Sciences, 116(32), 15849-15854.
Interdisciplinary Seminar: Kosuke Imai, Harvard University
“Experimental Evaluation of Algorithm-Assisted Human Decision-Making: Application to Pretrial Public Safety Assessment,” presented by Kosuke Imai, Professor of Government and of Statistics, Harvard University, Institute for Quantitative Social Science.
Statistics Colloquium: Jae-Kwang Kim, Iowa State University
“Multiple Bias Calibration for Valid Statistical Inference With Selection Bias,” presented by Jae-Kwang Kim, LAS Dean’s Professor, Department of Statistics, Iowa State University.