3 citations · 10 across the 7 of their papers we have counts for
8 papers
An extended generalized Pareto regression model for count data
Touqeer Ahmad, Carlo Gaetan, Philippe Naveau
The statistical modeling of discrete extremes has received less attention than their continuous counterparts in the Extreme Value Theory (EVT) literature. One approach to the trans…
Distributional regression models for Extended Generalized Pareto distributions
Noémie Le Carrer, Carlo Gaetan
The Extended Generalized Pareto Distribution (EGPD) (Naveau et al. 2016) is a family of distribution that has been introduced to model the full range of a positive random variable…
Clustering of bivariate satellite time series: a quantile approach
Victor Muthama Musau, Carlo Gaetan, Paolo Girardi
Clustering has received much attention in Statistics and Machine learning with the aim of developing statistical models and autonomous algorithms which are capable of acquiring inf…
Modeling and simulating depositional sequences using latent Gaussian random fields
Denis Allard, Paolo Fabbri, Carlo Gaetan
Simulating a depositional (or stratigraphic) sequence conditionally on borehole data is a long-standing problem in hydrogeology and in petroleum geostatistics. This paper presents…
On modelling positive continuous data with spatio-temporal dependence
M. Bevilacqua, C. Caamaño, C. Gaetan
In this paper we concentrate on an alternative modeling strategy for positive data that exhibit spatial or spatio-temporal dependence. Specifically we propose to consider stochasti…
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…
Comparing composite likelihood methods based on pairs for spatial Gaussian random fieldsM
Moreno Bevilacqua, Carlo Gaetan
In the last years there has been a growing interest in proposing methods for estimating covariance functions for geostatistical data. Among these, maximum likelihood estimators hav…
Estimation of spatial max-stable models using threshold exceedances
Jean-Noel Bacro, Carlo Gaetan
Parametric inference for spatial max-stable processes is difficult since the related likelihoods are unavailable. A composite likelihood approach based on the bivariate distributio…