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380 Wed, 8/10/2022, 8:30 AM - 10:20 AM CC-158AB
Advances in Bayesian Extreme Value Analysis — Topic Contributed Papers
Section on Bayesian Statistical Science, Section on Statistics and the Environment, Section on Risk Analysis
Organizer(s): Benjamin Shaby, Colorado State University
Chair(s): Benjamin Shaby, Colorado State University
8:35 AM Approximating Likelihoods for Extreme Value Analysis with Deep Learning
Reetam Majumder, North Carolina State University; Brian James Reich, North Carolina State University; Benjamin Shaby, Colorado State University
8:55 AM Spatial Scale-Aware Tail Dependence Modeling for High-Dimensional Spatial Extremes
Likun Zhang, Lawrence Berkeley National Laboratory; Mark Risser, Lawrence Berkeley National Laboratory; Benjamin Shaby, Colorado State University
9:15 AM Spatiotemporal Wildfire Modeling Through Point Processes with Moderate and Extreme Marks
Jonathan Koh, University of Bern; François Pimont, INRAe; Jean-Luc Dupuy, INRAe; Thomas Opitz, INRAe
9:35 AM A Flexible Bayesian Hierarchical Modeling Framework for Spatially Dependent Peaks-Over-Threshold Data
Rishikesh Yadav, King Abdullah University of Science and Technology; Raphael Huser, King Abdullah University of Science and Technology (KAUST); Thomas Opitz, INRAe
9:55 AM Interpolation of Precipitation Extremes on a Large Domain Toward IDF Curve Construction at Unmonitored Locations
Christian Genest, McGill University; Luc Perreault, Hydro-Québec
10:15 AM Floor Discussion