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SUMMARY:Nicoletta D’Angelo (University of Palermo)
DTSTART:20230404T111500Z
DTEND:20230404T120000Z
DTSTAMP:20260422T155153Z
UID:gbgstats/18
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/gbgstats/18/
 ">Self-exciting point process modelling of crimes on linear networks</a>\n
 by Nicoletta D’Angelo (University of Palermo) as part of Gothenburg stat
 istics seminar\n\nLecture held in MVL15.\n\nAbstract\nAlthough there are r
 ecent developments in analysing first and second-order characteristics of 
 point processes on networks\, there are very few attempts to introduce mod
 els for network data.\nMotivated by the analysis of crime data in Bucarama
 nga (Colombia)\, we propose a spatio-temporal Hawkes point process model a
 dapted to events living on linear networks.  We first consider a non-param
 etric modelling strategy\, for which we follow a non-parametric estimation
  of both the background and the triggering components. Then we consider a 
 semi-parametric version\, including a parametric estimation of the backgro
 und based on covariates. Our network model outperforms a planar version\, 
 improving the fitting of the self-exciting point process model\, and can b
 e easily adapted to multi-type processes.\n
LOCATION:https://researchseminars.org/talk/gbgstats/18/
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