3 citations · 3 across the 8 of their papers we have counts for
8 papers
Spatio-temporal modeling of urban extreme rainfall events at high resolution
Chloé Serre-Combe, Nicolas Meyer, Thomas Opitz +1
Modeling precipitation and its accumulation over time and space is essential for flood risk assessment. In this paper, we analyze rainfall data collected over several years through…
Tree Pólya Splitting distributions for multivariate count data
Samuel Valiquette, Jean Peyhardi, Éric Marchand +2
In this article, we develop a new class of multivariate distributions adapted for count data, called Tree Pólya Splitting. This class results from the combination of a univariate d…
Identifying regions of concomitant compound precipitation and wind speed extremes over Europe
Alexis Boulin, Elena Di Bernardino, Thomas Laloë +1
The task of simplifying the complex spatio-temporal variables associated with climate modeling is of utmost importance and comes with significant challenges. In this research, our…
Asymptotic tail properties of Poisson mixture distributions
Samuel Valiquette, Gwladys Toulemonde, Jean Peyhardi +2
Count data are omnipresent in many applied fields, often with overdispersion. With mixtures of Poisson distributions representing an elegant and appealing modelling strategy, we fo…
High-dimensional variable clustering based on maxima of a weakly dependent random process
Alexis Boulin, Elena Di Bernardino, Thomas Laloë +1
We propose a new class of models for variable clustering called Asymptotic Independent block (AI-block) models, which defines population-level clusters based on the independence of…
Choice of mixture Poisson models based on Extreme value theory
Samuel Valiquette, Frédéric Mortier, Jean Peyhardi +1
Count data are omnipresent in many applied fields, often with overdispersion due to an excess of zeroes or extreme values. With mixtures of Poisson distributions representing an el…
Non-parametric estimator of a multivariate madogram for missing-data and extreme value framework
Alexis Boulin, Elena Di Bernardino, Thomas Laloë +1
The modeling of dependence between maxima is an important subject in several applications in risk analysis. To this aim, the extreme value copula function, characterised via the ma…
Hierarchical space-time modeling of exceedances with an application to rainfall data
Jean-Noel Bacro, Carlo Gaetan, Thomas Opitz +1
The statistical modeling of space-time extremes in environmental applications is key to understanding complex dependence structures in original event data and to generating realist…