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dc.contributor.authorZhuang, Jiancang
dc.contributor.authorMateu, Jorge
dc.date.accessioned2019-03-08T12:41:01Z
dc.date.available2019-03-08T12:41:01Z
dc.date.issued2018-12
dc.identifier.citationZHUANG, Jiancang; MATEU, Jorge. A semiparametric spatiotemporal Hawkes‐type point process model with periodic background for crime data. Journal of the Royal Statistical Society: Series A (Statistics in Society), 2018.ca_CA
dc.identifier.urihttp://hdl.handle.net/10234/181795
dc.description.abstractPast studies have shown that crime events are often clustered. This study proposes a spatiotemporal Hawkes-type point process model, which includes a background component with daily and weekly periodization, and a clustering component that is triggered by previous events. We generalize the non-parametric stochastic reconstruction method so that we can estimate each component in the background rate and the triggering response that appears in the model conditional intensity: the background rate includes a daily and a weekly periodicity, a separable spatial component and a long-term background trend. Two relaxation coefficients are introduced to stabilize and secure the estimation process. This model is used to describe the occurrences of violence or robbery cases in Castell ́ on, Spain, during 2 years. The results show that robbery crime is highly influenced by daily life rhythms, revealed by its daily and weekly periodicity, and that about 3% of such crimes can be explained by clustering. Further diagnostic analysis shows that the model could be improved by considering the following ingredients: the daily occurrence patterns are different between weekends and working days; in the city centre, robbery activity shows different temporal patterns, in both weekly periodicity and long-term trend, from other suburb areas.ca_CA
dc.format.extent24 p.ca_CA
dc.language.isoengca_CA
dc.publisherWileyca_CA
dc.publisherRoyal Statistical Societyca_CA
dc.rights© 2018 Royal Statistical Societyca_CA
dc.subjectcrimeca_CA
dc.subjectedge effect correctionca_CA
dc.subjectHawkes processca_CA
dc.subjectKernel estimateca_CA
dc.subjectperiodicityca_CA
dc.subjectspatiotemporal point processca_CA
dc.subjectstochastic reconstructionca_CA
dc.titleA semiparametric spatiotemporal Hawkes-type point process model with periodic background for crime dataca_CA
dc.typeinfo:eu-repo/semantics/articleca_CA
dc.identifier.doihttps://doi.org/10.1111/rssa.12429
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccessca_CA
dc.relation.publisherVersionhttps://rss.onlinelibrary.wiley.com/doi/full/10.1111/rssa.12429ca_CA
dc.type.versioninfo:eu-repo/semantics/publishedVersionca_CA


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