Poisson intensity parameter estimation for stationary Gibbs point processes of finite interaction range
Nadia Morsli (LJK), Jean-Fran\c{c}ois Coeurjolly (LJK)

TL;DR
This paper proposes a semi-parametric estimator for the Poisson intensity in stationary Gibbs point processes, demonstrating its consistency, normality, and finite-sample performance through theoretical analysis and simulations.
Contribution
It introduces a new semi-parametric estimator for the intensity parameter, with proven theoretical properties and practical evaluation.
Findings
Estimator is strongly consistent and asymptotically normal.
Simulation results show good finite-sample performance.
Applicable to a broad class of Gibbs models.
Abstract
We introduce a semi-parametric estimator of the Poisson intensity parameter of a spatial stationary Gibbs point process. Under very mild assumptions satisfied by a large class of Gibbs models, we establish its strong consistency and asymptotic normality. We also consider its finite-sample properties in a simulation study.
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Taxonomy
TopicsPoint processes and geometric inequalities · Morphological variations and asymmetry
