Listar UJI: Investigación por autoría "f84343f5-7720-43da-a35b-790e9f06313a"
Mostrando ítems 1-5 de 5
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Assessing local differences between the spatio-temporal second-order structure of two point patterns occurring on the same linear network
D'ANGELO, Nicoletta; adelfio, giada; Mateu, Jorge (2021)We introduce Local Indicators of Spatio-Temporal Association (LISTA) functions on linear networks and use them to build a statistical test for local second-order structure. This allows to identify differences in the ... -
Local inhomogeneous second-order characteristics for spatio-temporal point processes occurring on linear networks
D'ANGELO, Nicoletta; adelfio, giada; Mateu, Jorge Springer (2022)Point processes on linear networks are increasingly being considered to analyse events occurring on particular network-based structures. In this paper, we extend Local Indicators of Spatio-Temporal Association (LISTA) ... -
Local Inhomogeneous Weighted Summary Statistics for Marked Point Processes
D'ANGELO, Nicoletta; adelfio, giada; Mateu, Jorge; Cronie, Ottmar Taylor and Francis (2023)We introduce a family of local inhomogeneous mark-weighted summary statistics, of order two and higher, for general marked point processes. Depending on how the involved weight function is specified, these summary statistics ... -
Locally weighted minimum contrast estimation for spatio-temporal log-Gaussian Cox processes
D'ANGELO, Nicoletta; adelfio, giada; Mateu, Jorge Elsevier (2022-12-09)A local version of spatio-temporal log-Gaussian Cox processes is proposed by using Local Indicators of Spatio-Temporal Association (LISTA) functions plugged into the minimum contrast procedure, to obtain space as well as ... -
Self-exciting point process modelling of crimes on linear networks
D'ANGELO, Nicoletta; Payares García, David Enrique; adelfio, giada; Mateu, Jorge SAGE Publications (2022)Although there are recent developments for the analysis of first and second-order characteristics of point processes on networks, there are very few attempts in introducing models for network data. Motivated by the analysis ...