6533b860fe1ef96bd12c35ae
RESEARCH PRODUCT
Hawkes processes on networks for crime data
Nicoletta D'angeloDavid PayaresGiada AdelfioJorge Mateusubject
Spatio-temporal point processesHawkes processeCovariateLinear networkCrime dataSettore SECS-S/01 - Statisticadescription
Motivated by the analysis of crime data in Bucaramanga (Colombia), we propose a spatio-temporal Hawkes point process model adapted to events living on linear networks. We first consider a non-parametric modelling strategy, for both the background and the triggering components, and then we include a parametric estimation of the background based on covariates, and a non-parametric one of the triggering effects. Our network model outperforms a planar version, improving the fitting of the self-exciting point process model.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2022-01-01 |