[Home ] [Archive]    
:: Volume 2, Issue 1 (9-2005) ::
JSRI 2005, 2(1): 89-106 Back to browse issues page
Properties of Spatial Cox Process Models
J. Moller *
, jm@math.aau.dk
Abstract:   (3211 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.
Full-Text [PDF 444 kb]   (862 Downloads)    
Type of Study: Research | Subject: General
Received: 2016/02/9 | Accepted: 2016/02/9 | Published: 2016/02/9
Send email to the article author

Add your comments about this article
Your username or Email:


XML   Persian Abstract   Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

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

Volume 2, Issue 1 (9-2005) Back to browse issues page
مجله‌ی پژوهش‌های آماری ایران (علمی - پژوهشی) Journal of Statistical Research of Iran JSRI
Persian site map - English site map - Created in 0.04 seconds with 29 queries by YEKTAWEB 4299