58 citations · 140 across the 27 of their papers we have counts for
5 papers · 1 filter
A convolution type model for the intensity of spatial point processes applied to eye-movement data
Francisco Cuevas-Pacheco, Jean-François Coeurjolly, Marie-Hélène Descary
Estimating the first-order intensity function in point pattern analysis is an important problem, and it has been approached so far from different perspectives: parametrically, semi…
Inter-regional correlation estimators for functional magnetic resonance imaging
Sophie Achard, Jean-Francois Coeurjolly, Pierre Lafaye de Micheaux +1
Functional magnetic resonance imaging (fMRI) functional connectivity between brain regions is often computed using parcellations defined by functional or structural atlases. Typica…
Digit analysis for Covid-19 reported data
Jean-François Coeurjolly
The coronavirus which appeared in December 2019 in Wuhan has spread out worldwide and caused the death of more than 280,000 people (as of May, 11 2020). Since February 2020, doubts…
Information criteria for inhomogeneous spatial point processes
Achmad Choiruddin, Jean-François Coeurjolly, Rasmus Waagepetersen
The theoretical foundation for a number of model selection criteria is established in the context of inhomogeneous point processes and under various asymptotic settings: infill, in…
Monte Carlo integration of non-differentiable functions on , , using a single determinantal point pattern defined on
Jean-François Coeurjolly, Adrien Mazoyer, Pierre-Olivier Amblard
This paper concerns the use of a particular class of determinantal point processes (DPP), a class of repulsive spatial point processes, for Monte Carlo integration. Let , $…