17 citations · 20 across the 4 of their papers we have counts for
4 papers
Spatial wildfire risk modeling using mixtures of tree-based multivariate Pareto distributions
Daniela Cisneros, Arnab Hazra, Raphaël Huser
Wildfires pose a severe threat to the ecosystem and economy, and risk assessment is typically based on fire danger indices such as the McArthur Forest Fire Danger Index (FFDI) used…
A combined statistical and machine learning approach for spatial prediction of extreme wildfire frequencies and sizes
Daniela Cisneros, Yan Gong, Rishikesh Yadav +2
Motivated by the Extreme Value Analysis 2021 (EVA 2021) data challenge we propose a method based on statistics and machine learning for the spatial prediction of extreme wildfire f…
Latent Gaussian Models for High-Dimensional Spatial Extremes
Arnab Hazra, Raphaël Huser, Árni V. Jóhannesson
In this chapter, we show how to efficiently model high-dimensional extreme peaks-over-threshold events over space in complex non-stationary settings, using extended latent Gaussian…
Estimating high-resolution Red Sea surface temperature hotspots, using a low-rank semiparametric spatial model
Arnab Hazra, Raphaël Huser
In this work, we estimate extreme sea surface temperature (SST) hotspots, i.e., high threshold exceedance regions, for the Red Sea, a vital region of high biodiversity. We analyze…