Hybrids of Gibbs Point Process Models and Their Implementation
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Otros documentos de la autoría: Baddeley, Adrian; Turner, Rolf; Mateu, Jorge; Bevan, Andrew
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Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7037
comunitat-uji-handle3:10234/8635
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Título
Hybrids of Gibbs Point Process Models and Their ImplementationFecha de publicación
2013Editor
Foundation for Open Access StatisticsISSN
1548-7660Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
https://www.jstatsoft.org/article/view/v055i11Versión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
We describe a simple way to construct new statistical models for spatial point pattern
data. Taking two or more existing models (finite Gibbs spatial point processes) we
multiply the probability densities together ... [+]
We describe a simple way to construct new statistical models for spatial point pattern
data. Taking two or more existing models (finite Gibbs spatial point processes) we
multiply the probability densities together and renormalise to obtain a new probability
density. We call the resulting model a hybrid. We discuss stochastic properties of
hybrids, their statistical implications, statistical inference, computational strategies and
software implementation in the R package spatstat. Hybrids are particularly useful for
constructing models which exhibit interaction at different spatial scales. The methods
are demonstrated on a real data set on human social interaction. Software and data are
provided. [-]
Publicado en
Journal of Statistical Software, November 2013, Volume 55, Issue 11.Derechos de acceso
info:eu-repo/semantics/openAccess
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- MAT_Articles [745]
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