Mostrar el registro sencillo del ítem
Hybrids of Gibbs Point Process Models and Their Implementation
dc.contributor.author | Baddeley, Adrian | |
dc.contributor.author | Turner, Rolf | |
dc.contributor.author | Mateu, Jorge | |
dc.contributor.author | Bevan, Andrew | |
dc.date.accessioned | 2017-06-23T11:34:46Z | |
dc.date.available | 2017-06-23T11:34:46Z | |
dc.date.issued | 2013 | |
dc.identifier.issn | 1548-7660 | |
dc.identifier.uri | http://hdl.handle.net/10234/168080 | |
dc.description.abstract | 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. | ca_CA |
dc.format.extent | 43 p. | ca_CA |
dc.format.mimetype | application/pdf | ca_CA |
dc.language.iso | eng | ca_CA |
dc.publisher | Foundation for Open Access Statistics | ca_CA |
dc.relation.isPartOf | Journal of Statistical Software, November 2013, Volume 55, Issue 11. | ca_CA |
dc.rights | This work is licensed under the licenses Paper: Creative Commons Attribution 4.0 Unported License Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license. | ca_CA |
dc.rights | Atribución 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-sa/4.0/ | * |
dc.subject | spatial point processes | ca_CA |
dc.subject | spatstat | ca_CA |
dc.subject | R | ca_CA |
dc.subject | C | ca_CA |
dc.subject | maximum pseudolikelihood | ca_CA |
dc.subject | Berman-Turner device | ca_CA |
dc.subject | Markov chain Monte Carlo | ca_CA |
dc.subject | birth-death-shift Metropolis-Hastings algorithm | ca_CA |
dc.subject | Gordon Square data | ca_CA |
dc.subject | social interaction | ca_CA |
dc.title | Hybrids of Gibbs Point Process Models and Their Implementation | ca_CA |
dc.type | info:eu-repo/semantics/article | ca_CA |
dc.identifier.doi | http://dx.doi.org/10.18637/jss.v055.i11 | |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | ca_CA |
dc.relation.publisherVersion | https://www.jstatsoft.org/article/view/v055i11 | ca_CA |
dc.type.version | info:eu-repo/semantics/publishedVersion |
Ficheros en el ítem
Este ítem aparece en la(s) siguiente(s) colección(ones)
-
MAT_Articles [759]
Articles de publicacions periòdiques