3 papers
stat.AP2026
Spatial Extremes at Scale: A Case Study of Surface Skin Temperature and Heat Risk in the United States
Ben Seiyon Lee, Reetam Majumder, Jordan Richards +2
Understanding and mapping extreme heat is critical for risk management and public health planning, particularly in regions with complex terrain and heterogeneous climate. We presen…
stat.ME2026
Log-Laplace Nuggets for Fully Bayesian Fitting of Spatial Extremes Models to Threshold Exceedances
Muyang Shi, Likun Zhang, Benjamin A. Shaby
Flexible random scale-mixture models provide a framework for capturing a broad range of extremal dependence structures. However, likelihood-based inference under the peaks-over-thr…
stat.ML2024
Flexible and efficient emulation of spatial extremes processes via variational autoencoders
Likun Zhang, Xiaoyu Ma, Christopher K. Wikle +1
Many real-world processes have complex tail dependence structures that cannot be characterized using classical Gaussian processes. More flexible spatial extremes models exhibit app…