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Activity Details

282 Tue, 8/9/2022, 10:30 AM - 12:20 PM CC-141
Sampling and Ensembling in Statistical Computing — Contributed Papers
Section on Statistical Computing
Chair(s): Donald E.K. Martin, North Carolina State University
10:35 AM Volume Subsampling for Big Data Linear Regression
Ethan Davis, North Carolina State University; Jonathan Stallrich, North Carolina State University
10:50 AM Some Generalized Linear Models to Explore the Effective Medical Derivatives: Biostatistical Analyses to Ensure Better Services for the Hospital Patients in the Post-COVID Era
Mian Arif Shams Adnan, Bowling Green State University; Silvia Irin Sharna, Bowling Green State University
11:05 AM Robust Ensemble Estimation
Mina Mahbub Hossain, Utah State University; Dr. Kevin Moon, Utah State University
11:20 AM A Two-Stage Adaptive Metropolis Algorithm for Bayesian Calibration of Complex Computer Models
Anirban Mondal, Case Western Reserve University
11:35 AM A Non-Degrading Streaming Sampler for Recursive Bayesian Inference
Ian Taylor, Colorado State University; Andee Kaplan, Colorado State University; Brenda Betancourt, University of Florida
11:50 AM A Unified Framework for Principal Subspace Analysis on Manifolds from the Hamiltonian Viewpoint
Ke Yu, University of Oxford
12:05 PM Floor Discussion