Jean-François Coeurjolly | DeepAI

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∙ 05/22/2023

Regularization techniques for inhomogeneous (spatial) point processes intensity and conditional intensity estimation

Point processes are stochastic models generating interacting points or e...

0 Jean-François Coeurjolly, et al. ∙

∙ 10/11/2021

Pairwise interaction function estimation of Gibbs point processes using basis expansion

The class of Gibbs point processes (GPP) is a large class of spatial poi...

0 Ismaïla Ba, et al. ∙

∙ 01/11/2021

Adaptive lasso and Dantzig selector for spatial point processes intensity estimation

Lasso and Dantzig selector are standard procedures able to perform varia...

0 Achmad Choiruddin, et al. ∙

∙ 12/17/2020

Fast estimation of a convolution type model for the intensity of spatial point processes

Estimating the first-order intensity function in point pattern analysis ...

0 Francisco Cuevas-Pacheco, et al. ∙

∙ 11/16/2020

Robust correlation for aggregated data with spatial characteristics

The objective of this paper is to study the robustness of computation of...

0 Sophie Achard, et al. ∙

∙ 05/11/2020

Digit analysis for Covid-19 reported data

The coronavirus which appeared in December 2019 in Wuhan has spread out ...

0 Jean-François Coeurjolly, et al. ∙

∙ 03/22/2020

High-dimensional inference for inhomogeneous Gibbs point processes

Gibbs point processes (GPPs) constitute a large and flexible class of sp...

0 Ismaïla Ba, et al. ∙

∙ 03/09/2020

Information criteria for inhomogeneous spatial point processes

The theoretical foundation for a number of model selection criteria is e...

0 Achmad Choiruddin, et al. ∙

∙ 02/28/2020

Monte Carlo integration of non-differentiable functions on [0,1]^ι, ι=1,...,d, using a single determinantal point pattern defined on [0,1]^d

This paper concerns the use of a particular class of determinantal point...

0 Jean-François Coeurjolly, et al. ∙

∙ 05/04/2019

Regularized estimation for highly multivariate log Gaussian Cox processes

Statistical inference for highly multivariate point pattern data is chal...

0 Achmad Choiruddin, et al. ∙

∙ 01/16/2019

The median of a jittered Poisson distribution

Let N_λ and U be two independent random variables respectively distribut...

0 Jean-François Coeurjolly, et al. ∙

∙ 01/15/2019

Second-order variational equations for spatial point processes with a view to pair correlation function estimation

Second-order variational type equations for spatial point processes are ...

0 Jean-François Coeurjolly, et al. ∙

∙ 12/27/2017

Spatial point processes intensity estimation with a diverging number of covariates

Feature selection procedures for spatial point processes parametric inte...

0 Achmad Choiruddin, et al. ∙

∙ 12/08/2017

Approximation intensity for pairwise interaction Gibbs point processes using determinantal point processes

The intensity of a Gibbs point process is usually an intractable functio...

0 Jean-François Coeurjolly, et al. ∙

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