58 citations · 140 across the 27 of their papers we have counts for
33 papers
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…
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…
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…
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…
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…
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 , $…
Regularized estimation for highly multivariate log Gaussian Cox processes
Achmad Choiruddin, Francisco Cuevas-Pacheco, Jean-François Coeurjolly +1
Statistical inference for highly multivariate point pattern data is challenging due to complex models with large numbers of parameters. In this paper, we develop numerically stable…
The median of a jittered Poisson distribution
Jean-François Coeurjolly, Joëlle Rousseau-Trépanier
Let and be two independent random variables respectively distributed as a Poisson distribution with parameter and a uniform distribution on . This paper esta…
Projections of determinantal point processes
Adrien Mazoyer, Jean-François Coeurjolly, Pierre-Olivier Amblard
Let be a space filling-design of points defined in . In computer experiments, an important property seeked for is a…
Approximation intensity for pairwise interaction Gibbs point processes using determinantal point processes
Jean-François Coeurjolly, Frédéric Lavancier
The intensity of a Gibbs point process is usually an intractable function of the model parameters. For repulsive pairwise interaction point processes, this intensity can be express…
Standard and robust intensity parameter estimation for stationary determinantal point processes
Jean-François Coeurjolly, Christophe Ange Napoléon Biscio
This work is concerned with the estimation of the intensity parameter of a stationary determinantal point process. We consider the standard estimator, corresponding to the number o…
Fast and exact simulation of complex-valued stationary Gaussian processes through embedding circulant matrix
Jean-Francois Coeurjolly, Emilio Porcu
This paper is concerned with the study of the embedding circulant matrix method to simulate stationary complex-valued Gaussian sequences. The method is, in particular, shown to be…
Towards optimal Takacs--Fiksel estimation
Jean-François Coeurjolly, Yongtao Guan, Mahdieh Khanmohammadi +1
The Takacs--Fiksel method is a general approach to estimate the parameters of a spatial Gibbs point process. This method embraces standard procedures such as the pseudolikelihood a…
A tutorial on Palm distributions for spatial point processes
Jean-François Coeurjolly, Jesper Møller, Rasmus Waagepetersen
This tutorial provides an introduction to Palm distributions for spatial point processes. Initially, in the context of finite point processes , we give an explicit definition of Pa…
Automatic sensor-based detection and classification of climbing activities
Jérémie Boulanger, Ludovic Seifert, Romain Hérault +1
This article presents a method to automatically detect and classify climbing activities using inertial measurement units (IMUs) attached to the wrists, feet and pelvis of the climb…
Palm distributions for log Gaussian Cox processes
Jean-François Coeurjolly, Jesper Møller, Rasmus Waagepetersen
This paper establishes a remarkable result regarding Palmdistributions for a log Gaussian Cox process: the reduced Palmdistribution for a log Gaussian Cox process is itself a log G…
Median-based estimation of the intensity of a spatial point process
Jean-François Coeurjolly
This paper is concerned with a robust estimator of the intensity of a stationary spatial point process. The estimator corresponds to the median of a jittered sample of the number o…
Expectiles for subordinated Gaussian processes with applications
Jean-François Coeurjolly, Hedi Kortas
In this paper, we introduce a new class of estimators of the Hurst exponent of the fractional Brownian motion (fBm) process. These estimators are based on sample expectiles of disc…
Identification of the Multivariate Fractional Brownian Motion
Pierre-Olivier Amblard, Jean-François Coeurjolly
This paper deals with the identification of the multivariate fractional Brownian motion, a recently developed extension of the fractional Brownian motion to the multivariate case.…
Geodesic Normal distribution on the circle
Jean-François Coeurjolly, Nicolas Le Bihan
This paper is concerned with the study of a circular random distribution called geodesic Normal distribution recently proposed for general manifolds. This distribution, parameteriz…