218 citations · 323 across the 27 of their papers we have counts for
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stat.ME2018
INLA goes extreme: Bayesian tail regression for the estimation of high spatio-temporal quantiles
Thomas Opitz, Raphaël Huser, Haakon Bakka +1
This work has been motivated by the challenge of the 2017 conference on Extreme-Value Analysis (EVA2017), with the goal of predicting daily precipitation quantiles at the …
stat.ME2018
Max-infinitely divisible models and inference for spatial extremes
Raphael Huser, Thomas Opitz, Emeric Thibaud
For many environmental processes, recent studies have shown that the dependence strength is decreasing when quantile levels increase. This implies that the popular max-stable model…