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.ME2025
Accounting for missing data when modelling block maxima
Emma S. Simpson, Paul J. Northrop
Modelling block maxima using the generalised extreme value (GEV) distribution is a classical and widely used method for studying univariate extremes. It allows for theoretically mo…
stat.ML2025
Generative Machine Learning for Multivariate Angular Simulation
Jakob Benjamin Wessel, Callum J. R. Murphy-Barltrop, Emma S. Simpson
With the recent development of new geometric and angular-radial frameworks for multivariate extremes, reliably simulating from angular variables in moderate-to-high dimensions is o…