Spatio-temporal modelling of crime using low discrepancy sequences

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dc.contributor.authorBrown, Paul T.en_NZ
dc.contributor.authorJoshi, Chaitanyaen_NZ
dc.contributor.authorJoe, Stephenen_NZ
dc.contributor.authorMcCarter, Nigelen_NZ
dc.coverage.spatialRennes, Franceen_NZ
dc.date.accessioned2016-11-29T02:19:03Z
dc.date.available2016en_NZ
dc.date.available2016-11-29T02:19:03Z
dc.date.issued2016en_NZ
dc.description.abstractWe perform spatio-temporal modelling of burglary data in order to predict areas of high criminal risk for local authorities. We wish to account for several spatio-temporal factors as latent processes to make the model as realistic as possible, thus creating a model with a large latent eld with several hyperparameters. Analysis of the model is done using Integrated Nested Laplace Approximations (INLA) (Rue et al. 2009), a fast Bayesian inference methodology that provides more computationally efficient estimations than Markov Chain Monte Carlo (MCMC) methods.en_NZ
dc.format.mimetypeapplication/pdf
dc.identifier.citationBrown, P. T., Joshi, C., Joe, S., & McCarter, N. (2016). Spatio-temporal modelling of crime using low discrepancy sequences. In Proceedings of the 31st International Workshop on Statistical Modelling Volume II, 4–8 July 2016, Rennes, France.en
dc.identifier.urihttps://hdl.handle.net/10289/10770
dc.language.isoen
dc.relation.isPartOfProceedings of the 31st International Workshop on Statistical Modelling Volume II
dc.relation.urihttp://dupuy.perso.math.cnrs.fr/IWSM2016/proceedingsVol2.pdf
dc.rightsThis paper was published as a part of the proceedings of the 31st International Workshop on Statistical Modelling, INSA Rennes, 4–8 July 2016. The copyright remains with the author(s).
dc.source31st International Workshop on Statistical Modelling (IWSM'16)en_NZ
dc.titleSpatio-temporal modelling of crime using low discrepancy sequencesen_NZ
dc.typeConference Contribution
pubs.elements-id139058
pubs.finish-date2016-07-08en_NZ
pubs.notesPoster presentation to be presented Tuesday 5 July. Proceedings yet to be published.en_NZ
pubs.organisational-group/Waikato
pubs.organisational-group/Waikato/FCMS
pubs.start-date2016-07-04en_NZ
uow.verification.statusverified
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