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dc.contributor.authorBaddeley, Adrian
dc.contributor.authorNair, G.
dc.date.accessioned2017-01-30T10:45:49Z
dc.date.available2017-01-30T10:45:49Z
dc.date.created2015-10-29T04:09:49Z
dc.date.issued2012
dc.identifier.citationBaddeley, A. and Nair, G. 2012. Fast approximation of the intensity of Gibbs point processes. Electronic Journal of Statistics. 6: pp. 1155-1169.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/5395
dc.identifier.doi10.1214/12-EJS707
dc.description.abstract

The intensity of a Gibbs point process model is usually an intractable function of the model parameters. This is a severe restriction on the practical application of such models. We develop a new approximation for the intensity of a stationary Gibbs point process on Rd. For pairwise interaction processes, the approximation can be computed rapidly and is surprisingly accurate. The new approximation is qualitatively similar to the mean field approximation, but is far more accurate, and does not exhibit the same pathologies. It may be regarded as a counterpart of the Percus-Yevick approximation.

dc.publisherINST MATHEMATICAL STATISTICS
dc.titleFast approximation of the intensity of Gibbs point processes
dc.typeJournal Article
dcterms.source.volume6
dcterms.source.startPage1155
dcterms.source.endPage1169
dcterms.source.issn1935-7524
dcterms.source.titleElectronic Journal of Statistics
curtin.departmentDepartment of Mathematics and Statistics
curtin.accessStatusOpen access via publisher


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