A concentration inequality for inhomogeneous Neyman–Scott point processes - Archive ouverte HAL
Article Dans Une Revue Statistics and Probability Letters Année : 2019

A concentration inequality for inhomogeneous Neyman–Scott point processes

Résumé

In this note, we prove some non-asymptotic concentration inequalities for functionals, called innovations, of inhomogeneous Neyman–Scott point processes, a particular class of spatial point process models. Innovation is a functional built from the counting measure minus its integral compensator. The result is then applied to obtain almost sure rate of convergence for such functionals.
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Dates et versions

hal-04367354 , version 1 (30-12-2023)

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Jean-François Coeurjolly, Patricia Reynaud-Bouret. A concentration inequality for inhomogeneous Neyman–Scott point processes. Statistics and Probability Letters, 2019, 148, pp.30-34. ⟨10.1016/j.spl.2018.12.003⟩. ⟨hal-04367354⟩
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