218 citations · 323 across the 27 of their papers we have counts for
4 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…
Joint Modeling and Prediction of Massive Spatio-Temporal Wildfire Count and Burnt Area Data with the INLA-SPDE Approach
Zhongwei Zhang, Elias Krainski, Peng Zhong +2
This paper describes the methodology used by the team RedSea in the data competition organized for EVA 2021 conference. We develop a novel two-part model to jointly describe the wi…
Bayesian Modeling of Air Pollution Extremes Using Nested Multivariate Max-Stable Processes
Sabrina Vettori, Raphaël Huser, Marc G. Genton
Capturing the potentially strong dependence among the peak concentrations of multiple air pollutants across a spatial region is crucial for assessing the related public health risk…
Local likelihood estimation of complex tail dependence structures, applied to U.S. precipitation extremes
Daniela Castro-Camilo, Raphaël Huser
To disentangle the complex non-stationary dependence structure of precipitation extremes over the entire contiguous U.S., we propose a flexible local approach based on factor copul…