4 citations · 7 across the 9 of their papers we have counts for
5 papers · 1 filter
Function-valued marked spatial point processes on linear networks: application to urban cycling profiles
Matthias Eckardt, Jorge Mateu, Mehdi Moradi
In the literature on spatial point processes, there is an emerging challenge in studying marked point processes with points being labelled by functions. In this paper, we focus on…
Semi-parametric profile pseudolikelihood via local summary statistics for spatial point pattern intensity estimation
Nicoletta D'Angelo, Giada Adelfio, Jorge Mateu +1
Second-order statistics play a crucial role in analysing point processes. Previous research has specifically explored locally weighted second-order statistics for point processes,…
Clustering constrained on linear networks
Asael Fabian Martínez, Somnath Chaudhuri, Carlos Díaz-Avalos +3
An unsupervised classification method for point events occurring on a network of lines is proposed. The idea relies on the distributional flexibility and practicality of random par…
A Spatio-Temporal Dirichlet Process Mixture Model for Coronavirus Disease-19
Jaewoo Park, Seorim Yi, Won Chang +1
Understanding the spatio-temporal patterns of the coronavirus disease 2019 (COVID-19) is essential to construct public health interventions. Spatially referenced data can provide r…
Substationarity in Spatial Point Processes
Tonglin Zhang, Jorge Mateu
The goal of the article is to develop the approach of substationarity to spatial point processes (SPPs). Substationarity is a new concept, which has never been studied in the liter…