49 citations · 167 across the 32 of their papers we have counts for
36 papers
Summary characteristics for multivariate function-valued spatial point process attributes
Matthias Eckardt, Carles Comas, Jorge Mateu
Prompted by modern technologies in data acquisition, the statistical analysis of spatially distributed function-valued quantities has attracted a lot of attention in recent years.…
Locally weighted minimum contrast estimation for spatio-temporal log-Gaussian Cox processes
Nicoletta D'Angelo, Giada Adelfio, Jorge Mateu
We propose a local version of spatio-temporal log-Gaussian Cox processes using Local Indicators of Spatio-Temporal Association (LISTA) functions into the minimum contrast procedure…
Local inhomogeneous weighted summary statistics for marked point processes
Nicoletta D'Angelo, Giada Adelfio, Jorge Mateu +1
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 fun…
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…
ANOVA for Data in Metric Spaces, with Applications to Spatial Point Patterns
Raoul Müller, Dominic Schuhmacher, Jorge Mateu
We give a review of recent ANOVA-like procedures for testing group differences based on data in a metric space and present a new such procedure. Our statistic is based on the class…