17 citations · 40 across the 22 of their papers we have counts for
4 papers · 1 filter
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…
Efficient Modeling of Spatial Extremes over Large Geographical Domains
Arnab Hazra, Raphaël Huser, David Bolin
Various natural phenomena exhibit spatial extremal dependence at short spatial distances. However, existing models proposed in the spatial extremes literature often assume that ext…
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…
Contamination mapping in Bangladesh using a multivariate spatial Bayesian model for left-censored data
Indranil Sahoo, Arnab Hazra
Arsenic (As) and other toxic elements contamination of groundwater in Bangladesh poses a major threat to millions of people on a daily basis. Understanding complex relationships be…