activity
20052026
most citedMaximum pseudolikelihood estimator for exponential family models of marked Gibbs point processes

29 citations · 35 across the 10 of their papers we have counts for

collaborators

21 papers

math.PR2026

Existence, properties, and parametric inference for possibly hyperuniform Gibbs perturbed lattices

Jean-François Coeurjolly, Christopher Renaud-Chan

This work lies at the intersection of Gibbs models and hyperuniform point processes. Classical Gibbs models, whether defined on lattices or in continuous space, provide flexible to…

cs.CV2026

When Imbalance Comes Twice: Active Learning under Simulated Class Imbalance and Label Shift in Binary Semantic Segmentation

Julien Combes, Alexandre Derville, Jean-François Coeurjolly

The aim of Active Learning is to select the most informative samples from an unlabelled set of data. This is useful in cases where the amount of data is large and labelling is expe…

stat.ME2026

Simulation of warping processes with applications to temperature data

Nolwenn Le Méhauté, Jean-François Coeurjolly, Marie-Hélène Descary

Curve registration plays a major role in functional data analysis by separating amplitude and phase variation through warping functions and the accurate simulation of warping proce…

stat.ME2025

Semi-parametric Markov models for multi-type point patterns

Ib Thorsgaard Jensen, Jean-François Coeurjolly, Rasmus Waagepetersen

Multi-type Markov point processes offer a flexible framework for modelling complex multi-type point patterns where it is pertinent to capture both interactions between points as we…

math.PR2025

Critical Point Processes Obtained from a Gaussian Random Field with a View Towards Statistics

Julien Chevallier, Jean-François Coeurjolly, Rasmus Waagepetersen

This paper establishes the theoretical foundation for statistical applications of an intriguing new type of spatial point processes called critical point processes. These point pro…

stat.ME2020

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…