Showing 1–20 of 20 results
/ Date/ Name
Apr 20, 2026Spatial Extremes at Scale: A Case Study of Surface Skin Temperature and Heat Risk in the United StatesDec 18, 2025Quantile-based causal inference for spatio-temporal processes: Assessing the impacts of wildfires on US air qualityAug 30, 2025MOPED: A moving sum method for change point detection in pairwise extremal dependenceMay 18, 2025Modeling Nonstationary Extremal Dependence via Deep Spatial DeformationsMay 12, 2025Separation-based causal discovery for extremesMay 5, 2025Generative modelling of multivariate geometric extremes using normalising flowsMar 6, 2025Spectral Extremal Connectivity of Two-State Seizure Brain WavesAug 13, 2024The Efficient Tail Hypothesis: An Extreme Value Perspective on Market EfficiencyJun 28, 2024Deep Learning of Multivariate Extremes via a Geometric RepresentationApr 14, 2024Extreme quantile regression with deep learningNov 18, 2023Modern extreme value statistics for Utopian extremesOct 4, 2023Neural Bayes Estimators for Irregular Spatial Data using Graph Neural NetworksAug 28, 2023Deep graphical regression for jointly moderate and extreme Australian wildfiresJun 27, 2023Neural Bayes estimators for censored inference with peaks-over-threshold modelsDec 4, 2022Insights into the drivers and spatio-temporal trends of extreme Mediterranean wildfires with statistical deep-learningOct 11, 2022Flexible Modeling of Nonstationary Extremal Dependence using Spatially-Fused LASSO and Ridge PenaltiesAug 16, 2022Regression modelling of spatiotemporal extreme U.S. wildfires via partially-interpretable neural networksNov 16, 2021Joint Estimation of Extreme Spatially Aggregated Precipitation at Different Scales through Mixture ModellingFeb 22, 2021Modelling Extremes of Spatial Aggregates of Precipitation using Conditional MethodsJan 18, 2021Spatial deformation for non-stationary extremal dependence