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08/28/2023
Deep graphical regression for jointly moderate and extreme Australian wildfires
Recent wildfires in Australia have led to considerable economic loss and...
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06/27/2023
Likelihood-free neural Bayes estimators for censored inference with peaks-over-threshold models
Inference for spatial extremal dependence models can be computationally ...
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12/04/2022
Insights into the drivers and spatio-temporal trends of extreme Mediterranean wildfires with statistical deep-learning
Extreme wildfires continue to be a significant cause of human death and ...
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10/11/2022
Flexible Modeling of Nonstationary Extremal Dependence Using Spatially-Fused LASSO and Ridge Penalties
Statistical modeling of a nonstationary spatial extremal dependence stru...
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08/16/2022
A unifying partially-interpretable framework for neural network-based extreme quantile regression
Risk management in many environmental settings requires an understanding...
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11/16/2021
Joint Estimation of Extreme Precipitation at Different Spatial Scales through Mixture Modelling
Parsimonious and effective models for the extremes of precipitation aggr...
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05/25/2021
On the Tail Behaviour of Aggregated Random Variables
In many areas of interest, modern risk assessment requires estimation of...
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02/22/2021
Modelling Extremes of Spatial Aggregates of Precipitation using Conditional Methods
Inference on the extremal behaviour of spatial aggregates of precipitati...
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01/18/2021