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JSRI 2005, 2(1): 89-106 Back to browse issues page
Properties of Spatial Cox Process Models
J. Moller
, jm@math.aau.dk
Abstract:   (3887 Views)

Probabilistic properties of Cox processes of relevance for statistical modeling and inference are studied. Particularly, we study the most important classes of Cox processes, including log Gaussian Cox processes, shot noise Cox processes, and permanent Cox processes. We consider moment properties and point process operations such as thinning, displacements, and superpositioning. We also discuss how to simulate specific Cox processes.

Keywords: Doubly stochastic process, edge effects, intensity, log Gaussian Cox process, mixed Poisson process, pair correlation function, permanent process, random displacements, shot noise Cox process, simulation, spatial point process, superposition, thinning.
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Type of Study: Research | Subject: General
Received: 2016/02/9 | Accepted: 2016/02/9 | Published: 2016/02/9
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Moller J. Properties of Spatial Cox Process Models. JSRI 2005; 2 (1) :89-106
URL: http://jsri.srtc.ac.ir/article-1-149-en.html

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Volume 2, Issue 1 (9-2005) Back to browse issues page
مجله‌ی پژوهش‌های آماری ایران Journal of Statistical Research of Iran JSRI
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