1 citations · 1 across the 6 of their papers we have counts for
6 papers
Testing the Structural Properties of Marked Point Processes Using Local Inhomogeneous Mark-Weighted K-Functions
Nicoletta D'Angelo, Giada Adelfio, Matthias Eckardt
This work proposes -type test statistics to assess different hypotheses on the local structure of an observed marked point pattern. The test statistics is based on the local i…
Using a neural network approach and starspots dependent models to predict effective temperatures and ages of young stars
Marco Tarantino, Loredana Prisinzano, Nicoletta D Angelo +2
This study presents a statistical approach to accurately predict the effective temperatures of pre-main sequence stars, which are necessary for determining stellar ages using the i…
stopp: An R Package for Spatio-Temporal Point Pattern Analysis
Nicoletta D'Angelo, Giada Adelfio
stopp is a novel R package specifically designed for the analysis of spatio-temporal point patterns which might have occurred in a subset of the Euclidean space or on some specific…
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,…
Cubature scheme for spatio-temporal Poisson point processes estimation
Nicoletta D'Angelo, Giada Adelfio
This work presents the cubature scheme for the fitting of spatio-temporal Poisson point processes. The methodology is implemented in the R Core Team (2024) package stopp (D'Angelo…
Spatio-temporal point process modelling of fires in Sicily exploring human and environmental factors
Nicoletta D'Angelo, Alessandro Albano, Andrea Gilardi +1
In 2023, Sicily faced an escalating issue of uncontrolled fires, necessitating a thorough investigation into their spatio-temporal dynamics. Our study addresses this concern throug…