Parametric estimation of pairwise Gibbs point processes with infinite range interaction

DOI10.3150/15-BEJ779zbMath1388.62277arXiv1412.2557MaRDI QIDQ520700

Jean-François Coeurjolly, Frédéric Lavancier

Publication date: 5 April 2017

Published in: Bernoulli (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1412.2557

zbMATH Keywords

central limit theoremlogistic regressionLennard-Jones potentialpseudo-likelihood

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Inference from spatial processes (62M30) Central limit and other weak theorems (60F05) Interacting random processes; statistical mechanics type models; percolation theory (60K35) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55)

Related Items (3)

What is the effective sample size of a spatial point process? ⋮ Inference for low‐ and high‐dimensional inhomogeneous Gibbs point processes ⋮ Pairwise interaction function estimation of stationary Gibbs point processes using basis expansion

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