50 citations · 63 across the 10 of their papers we have counts for
6 papers · 1 filter
Insights into the drivers and spatio-temporal trends of extreme Mediterranean wildfires with statistical deep-learning
Jordan Richards, Raphaël Huser, Emanuele Bevacqua +1
Extreme wildfires are a significant cause of human death and biodiversity destruction within countries that encompass the Mediterranean Basin. Recent worrying trends in wildfire ac…
Flexible Modeling of Nonstationary Extremal Dependence using Spatially-Fused LASSO and Ridge Penalties
Xuanjie Shao, Arnab Hazra, Jordan Richards +1
Statistical modeling of a nonstationary spatial extremal dependence structure is challenging. Max-stable processes are common choices for modeling spatially-indexed block maxima, w…
An Efficient Workflow for Modelling High-Dimensional Spatial Extremes
Silius M. Vandeskog, Sara Martino, Raphaël Huser
A successful model for high-dimensional spatial extremes should, in principle, be able to describe both weakening extremal dependence at increasing levels and changes in the type o…
Likelihood-Free Parameter Estimation with Neural Bayes Estimators
Matthew Sainsbury-Dale, Andrew Zammit-Mangion, Raphaël Huser
Neural point estimators are neural networks that map data to parameter point estimates. They are fast, likelihood free and, due to their amortised nature, amenable to fast bootstra…
Regression modelling of spatiotemporal extreme U.S. wildfires via partially-interpretable neural networks
Jordan Richards, Raphaël Huser
Risk management in many environmental settings requires an understanding of the mechanisms that drive extreme events. Useful metrics for quantifying such risk are extreme quantiles…
Functional-Coefficient Models for Multivariate Time Series in Designed Experiments: with Applications to Brain Signals
Paolo Victor Redondo, Raphael Huser, Hernando Ombao
To study the neurophysiological basis of attention deficit hyperactivity disorder (ADHD), clinicians use electroencephalography (EEG) which record neuronal electrical activity on t…