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20192023
most citedA combined statistical and machine learning approach for spatial prediction of extreme wildfire frequencies and sizes

17 citations · 20 across the 4 of their papers we have counts for

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Showing 2021Show all

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stat.ME2021★ 17 cited

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…

stat.ME2021★ 2 cited

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…