activity
20142024
most citedFunctional marked point processes -- A natural structure to unify spatio-temporal frameworks and to analyse dependent functional data

4 citations · 7 across the 9 of their papers we have counts for

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5 papers · 1 filter

stat.ME2024

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…

stat.ME2024

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,…

stat.ME2022

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…

stat.ME2022

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…

stat.ME2017

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…