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274 * ! Tue, 8/9/2022, 10:30 AM - 12:20 PM CC-101
Advances in Scalable Bayesian Methods for Spatial Data — Topic Contributed Papers
International Society for Bayesian Analysis (ISBA)
Organizer(s): Sally Paganin, Harvard University
Chair(s): Sally Paganin, Harvard University
10:35 AM Spatial Factor Modeling: A Bayesian Matrix-Normal Approach for Massive Spatial Data with Missing Observations
Lu Zhang, Columbia University; Sudipto Banerjee, UCLA
10:55 AM Multivariate Nearest-Neighbors Gaussian Processes with Random Covariance Matrices
Isabelle Grenier, UC Santa Cruz; Bruno Sanso, UC Santa Cruz
11:15 AM Spatial Meshing and Manifold Preconditioning for Big Multivariate Models
Michele Peruzzi, Duke University; David Dunson, Duke University
11:35 AM Discussant: Alexandra M Schmidt, McGill University
11:55 AM Floor Discussion