The study of non-stationary behavior in the extremes is important to analyze data in
environmental sciences, climate, finance, or sports. As an alternative to the classical extreme …

Increased coastal flooding caused by extreme sea levels (ESLs) is one of the major hazards
related to sea level rise. Estimates of return levels obtained under the framework provided …

The occurrence of extreme heat events in maximum and minimum daily temperatures is
modelled using a non-homogeneous common Poisson shock process. It is applied to five …

Expression quantitative trait loci (eQTLs) are used to inform the mechanisms of
transcriptional regulation in eukaryotic cells. However, the specificity of genome-wide eQTL …

Extreme sea levels (ESLs) affect coastal ecosystems worldwide. Protection and adaptation
strategies rely on the characterization of the extreme's occurrence probability in the future …

The development of electric vehicles (EV) is a major lever towards low-carbon transport. It
comes with a growing number of charging infrastructures that can be used as flexible assets …

A joint model is proposed for analyzing and predicting the occurrence of extreme heat
events in two temperature series, these being daily maximum and minimum temperatures …

In this study, nonhomogeneous Poisson process (NHPP) models arising from the extreme
value theory have been fitted to summer high temperature extremes (HTEs) at 321 …

We introduce thenhppp'package for simulating events from one dimensional non-
homogeneous Poisson point processes (NHPPPs) in R. Its functions are based on three …

Point processes are often used to model the occurrence times of different phenomena, such
as heatwaves or spike trains. Many of those problems require to study the independence …