Zobrazeno 1 - 10
of 370
pro vyhledávání: '"Adelfio P"'
Autor:
D'Angelo, Nicoletta, Adelfio, Giada
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 linear network, such as roads of a city. It represents the first pack
Externí odkaz:
http://arxiv.org/abs/2408.15052
Autor:
D'Angelo, Nicoletta, Adelfio, Giada
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 and Adelfio, 2023), published on the Comprehensive R Archive Network (
Externí odkaz:
http://arxiv.org/abs/2403.10878
Second-order statistics play a crucial role in analysing point processes. Previous research has specifically explored locally weighted second-order statistics for point processes, offering diagnostic tests in various spatial domains. However, there r
Externí odkaz:
http://arxiv.org/abs/2404.10344
Spatio-temporal point process modelling of fires in Sicily exploring human and environmental factors
In 2023, Sicily faced an escalating issue of uncontrolled fires, necessitating a thorough investigation into their spatio-temporal dynamics. Our study addresses this concern through point process theory. Each wildfire is treated as a unique point in
Externí odkaz:
http://arxiv.org/abs/2402.10859
Autor:
D'Angelo, Nicoletta, Adelfio, Giada
In this paper, we harness a result in point process theory, specifically the expectation of the weighted $K$-function, where the weighting is done by the true first-order intensity function. This theoretical result can be employed as an estimation me
Externí odkaz:
http://arxiv.org/abs/2303.04669
Autor:
D'Angelo, Nicoletta, Adelfio, Giada
The stopp R package deals with spatio-temporal point processes which might have occurred on the Euclidean space or on some specific linear networks such as roads of a city. The package contains functions to summarize, plot, and perform different kind
Externí odkaz:
http://arxiv.org/abs/2302.13684
Autor:
Diaz-Sepulveda, Juan F., D'Angelo, Nicoletta, Adelfio, Giada, Gonzalez, Jonatan A., Rodriguez-Cortes, Francisco J.
We consider the feature detection problem in the presence of clutter in point processes on linear networks. We extend the classification method developed in previous studies to this more complex geometric context, where the classical properties of a
Externí odkaz:
http://arxiv.org/abs/2209.14082
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 to obtain space as well as time-varying parameters. We resort to the
Externí odkaz:
http://arxiv.org/abs/2209.07153
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 function is specified, these summary statistics capture different kinds o
Externí odkaz:
http://arxiv.org/abs/2208.09233
Autor:
Patricelli, Barbara, Carosi, Alessandro, Nava, Lara, Seglar-Arroyo, Monica, Schüssler, Fabian, Stamerra, Antonio, Adelfio, Andrea, Ashkar, Halim, Bulgarelli, Andrea, Di Girolamo, Tristano, Di Piano, Ambra, Gasparetto, Thomas, Green, Jarred, Longo, Francesco, Agudo, Ivan, Berti, Alessio, Bissaldi, Elisabetta, Cella, Giancarlo, Circiello, Antonio, Covino, Stefano, Ghirlanda, Giancarlo, Humensky, Brian, Inoue, Susumu, Lefaucheur, Julien, Filipovic, Miroslav, Razzano, Massimiliano, Ribeiro, Deivid, Sergijenko, Olga, Stratta, Giulia, Vergani, Susanna
The detection of electromagnetic (EM) emission following the gravitational wave (GW) event GW170817 opened the era of multi-messenger astronomy with GWs and provided the first direct evidence that at least a fraction of binary neutron star (BNS) merg
Externí odkaz:
http://arxiv.org/abs/2108.00691