A number of papers have dealt with the analysis of crime data using self-exciting point process theory after the analogy drawn between aftershock ETAS models and crime rate. With the aim to describe crime events that occurred in Valencia in the last decade, in this paper, we justify the need for a self-exciting point process model through spatial and temporal exploratory analysis.

Marcello Chiodi, Nicoletta D'Angelo, Giada Adelfio, Jorge Mateu (2023). Towards the specification of a self-exciting point process for modelling crimes in Valencia. In Book of Abstracts.

Towards the specification of a self-exciting point process for modelling crimes in Valencia

Marcello Chiodi;Nicoletta D'Angelo
;
Giada Adelfio;Jorge Mateu
2023-01-01

Abstract

A number of papers have dealt with the analysis of crime data using self-exciting point process theory after the analogy drawn between aftershock ETAS models and crime rate. With the aim to describe crime events that occurred in Valencia in the last decade, in this paper, we justify the need for a self-exciting point process model through spatial and temporal exploratory analysis.
2023
978-88-6952-170-6
Marcello Chiodi, Nicoletta D'Angelo, Giada Adelfio, Jorge Mateu (2023). Towards the specification of a self-exciting point process for modelling crimes in Valencia. In Book of Abstracts.
File in questo prodotto:
File Dimensione Formato  
sds2023towards.pdf

Solo gestori archvio

Descrizione: Contributo completo
Tipologia: Versione Editoriale
Dimensione 1.08 MB
Formato Adobe PDF
1.08 MB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/582810
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact