Variational estimators for the parameters of Gibbs point process models

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Variational estimators for the parameters of Gibbs point process models

This paper proposes a new estimation technique for fitting parametric Gibbs point process models to a spatial point pattern dataset. The technique is a counterpart, for spatial point processes, of the variational estimators for Markov random fields developed by Almeida and Gidas. The estimator does...

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Bibliographic Details
Main Authors:	Baddeley, Adrian, Dereudre, D.
Format:	Journal Article
Published:	INT STATISTICAL INST 2013
Online Access:	http://hdl.handle.net/20.500.11937/27366

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