RT - Journal Article T1 - Properties of Spatial Cox Process Models JF - srtc-jsri YR - 2005 JO - srtc-jsri VO - 2 IS - 1 UR - http://jsri.srtc.ac.ir/article-1-149-en.html SP - 89 EP - 106 K1 - Doubly stochastic process K1 - edge effects K1 - intensity K1 - log Gaussian Cox process K1 - mixed Poisson process K1 - pair correlation function K1 - permanent process K1 - random displacements K1 - shot noise Cox process K1 - simulation K1 - spatial point process K1 - superposition K1 - thinning. AB - 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. LA eng UL http://jsri.srtc.ac.ir/article-1-149-en.html M3 10.18869/acadpub.jsri.2.1.89 ER -