42 citations · 63 across the 10 of their papers we have counts for
6 papers · 1 filter
Exploring first and second-order spatio-temporal structures of lightning strike impacts in the French Alps using subsampling
Jean-François Coeurjolly, J Blanchet, Alexis Pellerin
We model cloud-to-ground lightning strike impacts in the French Alps over the period 2011-2021 (approximately 1.4 million of events) using spatio-temporal point processes. We inves…
Regularization techniques for inhomogeneous (spatial) point processes intensity and conditional intensity estimation
Jean-François Coeurjolly, Ismaïla Ba, Achmad Choiruddin
Point processes are stochastic models generating interacting points or events in time, space, etc. Among characteristics of these models, first-order intensity and conditional inte…
Pairwise interaction function estimation of Gibbs point processes using basis expansion
Ismaïla Ba, Jean-François Coeurjolly, Francisco Cuevas-Pacheco
The class of Gibbs point processes (GPP) is a large class of spatial point processes able to model both clustered and repulsive point patterns. They are specified by their conditio…
Inference for possibly high-dimensional inhomogeneous Gibbs point processes
Ismaïla Ba, Jean-François Coeurjolly
Gibbs point processes (GPPs) constitute a large and flexible class of spatial point processes with explicit dependence between the points. They can model attractive as well as repu…
Stein estimation of the intensity of a spatial homogeneous Poisson point process
Marianne Clausel, Jean-François Coeurjolly, Jérôme Lelong
In this paper, we revisit the original ideas of Stein and propose an estimator of the intensity parameter of a homogeneous Poisson point process defined in and observed in a…
Variational approach for spatial point process intensity estimation
Jean-François Coeurjolly, Jesper Møller
We introduce a new variational estimator for the intensity function of an inhomogeneous spatial point process with points in the -dimensional Euclidean space and observed within…