2 citations · 2 across the 1 of their papers we have counts for
3 papers
stat.AP2025
A Spatio-Temporal Dirichlet Process Mixture Model on Linear Networks for Crime Data
Sujeong Lee, Won Chang, Jorge Mateu +2
Analyzing crime events is crucial to understand crime dynamics and it is largely helpful for constructing prevention policies. Point processes specified on linear networks can prov…
stat.AP2024
Spatio-Temporal-Network Point Processes for Modeling Crime Events with Landmarks
Zheng Dong, Jorge Mateu, Yao Xie
Self-exciting point processes are widely used to model the contagious effects of crime events living within continuous geographic space, using their occurrence time and locations.…
stat.AP2020★ 2 cited
Spatio-temporal small area surveillance of the Covid-19 pandemics
Miguel A. Martinez-Beneito, Jorge Mateu, Paloma Botella-Rocamora
The emergence of Covid-19 requires new effective tools for epidemiological surveillance. Spatio-temporal disease mapping models, which allow dealing with highly disaggregated spati…