Logistic regression for spatial Gibbs point processes

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Logistic regression for spatial Gibbs point processes

We propose a computationally efficient technique, based on logistic regression, for fittingGibbs point process models to spatial point pattern data. The score of the logistic regression is anunbiased estimating function and is closely related to the pseudolikelihood score. Implementationof our techn...

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Bibliographic Details
Main Authors:	Baddeley, Adrian, Coeurjolly, J., Rubak, E., Waagepetersen, R.
Format:	Journal Article
Published:	Oxford University Press 2014
Subjects:	Georgii–Nguyen–Zessin formula Exponential family model Pseudolikelihood Logistic regression Estimating function
Online Access:	http://hdl.handle.net/20.500.11937/39331

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