Log Gaussian Cox Processes
Scandinavian Journal of StatisticsPublished 1 September 1998
Jesper Møller, Anne Randi Syversveen, Rasmus Waagepetersen
Citations786
SJR quartileQ1
SJR score0.87
SNIP1.00
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TL;DR
Planar Cox processes directed by a log Gaussian intensity process are investigated in the univariate and multivariate cases and the appealing properties of such models are demonstrated theoretically as well as through data examples and simulations.
Abstract
Planar Cox processes directed by a log Gaussian intensity process are investigated in the univariate and multivariate cases. The appealing properties of such models are demonstrated theoretically as well as through data examples and simulations. In particular, the first, second and third‐order properties are studied and utilized in the statistical analysis of clustered point patterns. Also empirical Bayesian inference for the underlying intensity surface is considered.
Keywords
MathematicsEnvironmental Science
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