A nonparametric estimator for stationary pairwise interaction point processes under mixing conditions
Résumé
We consider a nonparametric estimator of the interaction function of pairwise interaction point process such that its Papangelou conditional intensity is translation invariant and satisfied finite-range interaction. This method of nonparametric inference is based on a single observation in a window which is assumed its volume grows unboundedly in all directions as n tends infinity. We prove uniform strong consistency of multivariate nonparametric estimates. The main problem consists in deriving appropriate for uniform strong mixing and strong mixing random fields in Z d under Dobrushin's uniqueness condition.
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