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197 * ! Tue, 8/10/2021, 1:30 PM - 3:20 PM Virtual
New Methods for Scalable Nonstationary Spatial Statistics — Topic-Contributed Papers
Section on Statistics and the Environment, Section on Physical and Engineering Sciences, Section on Statistical Computing
Organizer(s): Matthias Katzfuss, Texas A&M University
Chair(s): Marcin Jurek, University of Texas
1:35 PM Geostatistics Meets Variable Selection: Multi-Scale Models for Nonstationary Spatial Fields
Bruno Sansó , University of California, Santa Cruz; Daniel Kirsner, Chase Bank
1:55 PM Modeling Massive Multivariate Spatial Data with the Basis Graphical Lasso
William Kleiber, University of Colorado Boulder; Mitchell Krock, Rutgers University; Dorit Hammerling, Colorado School of Mines
2:15 PM Scalable Bayesian Transport Maps for High-Dimensional Non-Gaussian Spatial Fields
Matthias Katzfuss, Texas A&M University; Florian Schaefer, Caltech
2:35 PM Non-Homogeneous Poisson Process Intensity Modeling and Estimation Using Measure Transport
Tin Lok James Ng, Trinity College Dublin; Andrew Zammit-Mangion, University of Wollongong
2:55 PM Discussant: Emily Kang, University of Cincinnati
3:15 PM Floor Discussion