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