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426 * ! Wed, 8/10/2022, 10:30 AM - 12:20 PM CC-144B
Computing in Large and Complex Data Analysis — Contributed Papers
Section on Statistical Computing
Chair(s): Ian Taylor, Colorado State University
10:35 AM Graph Topology Learning from Smooth Signal on the Graph and Predictors
Jing Guo, California State University, Chico; Skip Moses, California State University, Chico
10:50 AM High Order Candecomp/Parafac Model for Complex Data
Michele Gallo, University of Naples - L'Orientale
11:05 AM Generalized Kernel Thinning
Raaz Dwivedi, MIT
11:20 AM A Benchmarking Suite for Geostatistical Modeling and Kriging Tools
Faten Alamri , Princess Nourah Bint AbdulRahman University &KAUST ; Sameh Abdulah, KAUST; Marc Genton, KAUST; David Keyes, King Abdullah University of Science and Technology; Hatem Ltaief, KAUST; Ying Sun, KAUST
11:35 AM Parallel Approximation of the Tukey G-and-H Likelihoods for Large-Scale Non-Gaussian Geostatistical Modeling
Sagnik Mondal, King Abdullah University of Science and Technology; Sameh Abdulah, KAUST; Hatem Ltaief, KAUST; Ying Sun, KAUST; Marc Genton, KAUST; David Keyes, King Abdullah University of Science and Technology
12:05 PM Floor Discussion