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Shot-noise-weighted processes : a new family of spatial point processes

van Marie-Colette Lieshout, Ilya S. Molchanov

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Abstract

This paper proposes a new family of spatial point processes defined by their density with respect to a Poisson process on a bounded window. The density will be specified in terms of functionals of shot noise processes with various influence functions, for example the coverage function. Stability, Markov properties, stationary extensions and limit behaviour are studied. Examples and simulated realisations are given to indicate the applicability of shot noise weighted processes.

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What this paper is about

This paper proposes a new family of spatial point processes defined by their density with respect to a Poisson process on a bounded window. The density will be specified in terms of functionals of shot noise processes with various influence functions, for example the coverage function. Stability, Markov properties, stationary extensions and limit behaviour are studied. Examples and simulated realisations are given to indicate the applicability of shot noise weighted processes.

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Available abstract

This paper proposes a new family of spatial point processes defined by their density with respect to a Poisson process on a bounded window. The density will be specified in terms of functionals of shot noise processes with various influence functions, for example the coverage function. Stability, Markov properties, stationary extensions and limit behaviour are studied. Examples and simulated realisations are given to indicate the applicability of shot noise weighted processes.

Key concepts: Point process, Shot noise, Cox process, Poisson point process, Mathematics, Poisson distribution, Noise (video), Bounded function

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