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stat.ME2019
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…
stat.ME2019
Second-order variational equations for spatial point processes with a view to pair correlation function estimation
Jean-François Coeurjolly, Francisco Cuevas-Pacheco, Rasmus Waagepetersen
Second-order variational type equations for spatial point processes are established. In case of log linear parametric models for pair correlation functions, it is demonstrated that…