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335 * ! Tue, 8/9/2022, 2:00 PM - 3:50 PM CC-144A
Recent Advances in Spatial and Spatio-Temporal Modeling — Contributed Papers
Section on Statistics and the Environment
Chair(s): Lyndsay Shand, Sandia National Laboratories
2:05 PM A Bayesian Spatio-Temporal Level Set Dynamic Model and Application to Fire Front Propagation
Myungsoo Yoo, University of Missouri; Christopher K. Wikle, University of Missouri
2:20 PM A Combined Statistical and Machine Learning Approach for Spatial Prediction of Extreme US Wildfire Frequencies and Sizes
Daniela Cisneros, KAUST; Raphael Huser, King Abdullah University of Science and Technology (KAUST); Yan Gong, KAUST; Rishikesh Yadav, King Abdullah University of Science and Technology; Arnab Hazra, Indian Institute of Technology Kanpur
2:35 PM Long-Range Dependence in Earthquake Catalogs
Ariane Ducellier, University of Washington
2:50 PM Sliced Elastic Distances for Global Climate Model Validation
Robert Charles Garrett, University of Illinois at Urbana Champaign; Trevor Austin Harris, Texas A&M University; Bo Li, University of Illinois at Urbana-Champaign
3:05 PM Multivariate Spatio-Temporal Models for Landscape Change Using Aerial Imagery
Xinyi Lu, Colorado State University
3:20 PM Extremal Dependence of Type-G Mat\'Ern Stochastic Partial Differential Equation Random Fields
Zhongwei Zhang, King Abdullah University of Science and Technology; David Bolin, King Abdullah University of Science and Technology (KAUST); Sebastian Engelke, Université de Genève; Raphael Huser, King Abdullah University of Science and Technology (KAUST)
3:35 PM Floor Discussion