3 citations · 3 across the 5 of their papers we have counts for
4 papers · 1 filter
Continuous mixtures of Gaussian processes as models for spatial extremes
Lorenzo Dell'Oro, Carlo Gaetan, Thomas Opitz
Spatial modelling of extreme values allows studying the risk of joint occurrence of extreme events at different locations and is of significant interest in climatic and other envir…
Multivariate distributional modeling of low, moderate, and large intensities without threshold selection steps
Carlo Gaetan, Philippe Naveau
In fields such as hydrology and climatology, modelling the entire distribution of positive data is essential, as stakeholders require insights into the full range of values, from l…
Joint modeling of low and high extremes using a multivariate extended generalized Pareto distribution
Noura Alotaibi, Matthew Sainsbury-Dale, Philippe Naveau +2
In most risk assessment studies, it is important to accurately capture the entire distribution of the multivariate random vector of interest from low to high values. For example, i…
Flexible space-time models for extreme data
Lorenzo Dell'Oro, Carlo Gaetan
Extreme value analysis is an essential methodology in the study of rare and extreme events, which hold significant interest in various fields, particularly in the context of enviro…