2 papers
stat.AP2026
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.AP2025
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.…