, Volume 51, Issue 4, pp 657-678

Robustness for Inhomogeneous Poisson Point Processes

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We consider robustness for estimation of parametric inhomogeneous Poisson point processes. We propose an influence functional to measure the effect of contamination on estimates. We also propose an M-estimator as an alternative to maximum likelihood estimator, show its consistency and asymptotic normality.