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Activity Details

34 Sun, 8/7/2022, 2:00 PM - 3:50 PM CC-144A
Advanced Methods in Statistical Learning — Contributed Papers
Section on Statistical Learning and Data Science
Chair(s): Jason Brinkley, Abt Associates
2:05 PM Bayesian Algorithms Learn to Stabilize Unknown Stochastic Differential Equations
Mohamad Kazem Shirani Faradonbeh, University of Georgia
2:20 PM An Augmented Multivariate Hidden Markov Model to Capture Dynamics in Freely Diffusing SmFRET Experiments
Axel Cortes, University of Puerto Rico-Mayaguez; Roberto Rivera, University of Puerto Rico-Mayaguez; Sebastian Alzate, University of Puerto Rico-Mayaguez
2:35 PM The Third Moment Tensor Method with Principal Components and Basis Expansion
W. D. Brinda, Quantitations LLC; Ruchira Ray, Columbia University
2:50 PM Finding Higher Order Interactions Using Local Corex
Thomas J Kerby, Utah State University; Dr. Kevin Moon, Utah State University; Greg Steeg, Information Sciences Institute
3:05 PM Data Integration Using Model-Based Boosting
Bin Li, Louisiana State University; Somsubhra Chakraborty, Indian Institute of Technology; David Weindorf, Central Michigan University; Qingzhao Yu, Louisiana State University Health Science Center
3:20 PM Data Integration via Analysis of Subspaces (DIVAS)
Jack B. Prothero, National Institute of Standards and Technology; Jan Hannig, University of Noerth Carolina at Chapel Hill; J. S. (Steve) Marron, UNC; Quoc Tran-Dinh, University of North Carolina Chapel Hill; Meilei Jiang, Meta
3:35 PM Floor Discussion