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Nicoletta D'Angelo
Nicoletta D'Angelo
Junior Assistant Professor in Statistics, University of Palermo
在 unipa.it 的电子邮件经过验证
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引用次数
引用次数
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An analysis of Italian university students’ performance through segmented regression models: gender differences in STEM courses
A Priulla, N D’Angelo, M Attanasio
Genus 77, 1-20, 2021
182021
Local spatial log-Gaussian Cox processes for seismic data
N D’Angelo, M Siino, A D’Alessandro, G Adelfio
AStA Advances in Statistical Analysis 106 (4), 633-671, 2022
152022
Inhomogeneous spatio-temporal point processes on linear networks for visitors’ stops data
N D’Angelo, G Adelfio, A Abbruzzo, J Mateu
The Annals of Applied Statistics 16 (2), 791-815, 2022
112022
Spatio-temporal spread pattern of COVID-19 in Italy
N D’Angelo, A Abbruzzo, G Adelfio
Mathematics 9 (19), 2454, 2021
112021
Self-exciting point process modelling of crimes on linear networks
N D’Angelo, D Payares, G Adelfio, J Mateu
Statistical Modelling 24 (2), 139-168, 2024
92024
Local inhomogeneous second-order characteristics for spatio-temporal point processes occurring on linear networks
N D’Angelo, G Adelfio, J Mateu
Statistical Papers 64 (3), 779-805, 2023
82023
Assessing local differences between the spatio-temporal second-order structure of two point patterns occurring on the same linear network
N D’Angelo, G Adelfio, J Mateu
Spatial Statistics 45, 100534, 2021
82021
Locally weighted minimum contrast estimation for spatio-temporal log-Gaussian Cox processes
N D'Angelo, G Adelfio, J Mateu
Computational Statistics & Data Analysis 180, 107679, 2023
72023
ETAS space–time modeling of Chile triggered seismicity using covariates: Some preliminary results
M Chiodi, O Nicolis, G Adelfio, N D’angelo, A Gonzàlez
Applied Sciences 11 (19), 9143, 2021
72021
Local inhomogeneous weighted summary statistics for marked point processes
N D’Angelo, G Adelfio, J Mateu, O Cronie
Journal of Computational and Graphical Statistics 33 (2), 588-602, 2024
62024
Estimating the number of changepoints in segmented regression models: comparative study and application
N D’Angelo, A Priulla
d/Seas Work Papers, 2020
52020
A fast and efficient picking algorithm for earthquake early warning application based on the variance piecewise constant models
N D’Angelo, G Adelfio, A D’Alessandro, M Chiodi
International Conference on Computational Science and Its Applications, 903-913, 2020
42020
A new picking algorithm based on the variance piecewise constant models
N D’Angelo, A Di Benedetto, G Adelfio, A D’Alessandro, M Chiodi
Stochastic Environmental Research and Risk Assessment 36 (8), 2101-2113, 2022
32022
Evaluating the performance of a new picking algorithm based on the variance piecewise constant models
N D'Angelo, G Adelfio, A D'Alessandro, M Chiodi
Book of short papers-SIS 2021, 1587-1592, 2021
32021
GPS data on tourists: a spatial analysis on road networks
N D’Angelo, A Abbruzzo, M Ferrante, G Adelfio, M Chiodi
AStA Advances in Statistical Analysis, 1-23, 2023
22023
Statistical picking of multivariate waveforms
N D’Angelo, G Adelfio, M Chiodi, A D’Alessandro
Sensors 22 (24), 9636, 2022
22022
Spatio-temporal analysis of the Covid-19 spread in Italy by Bayesian hierarchical models
N D'Angelo, G Adelfio, A Abbruzzo
Book of short papers-SIS 2021, 1016-1020, 2021
22021
Spatial bayesian hierarchical modelling with integrated nested laplace approximation
N D'Angelo, A Abbruzzo, G Adelfio
arXiv preprint arXiv:2009.03712, 2020
22020
Sequential hypothesis testing for selecting the number of changepoints in segmented regression models
A Priulla, N D’Angelo
Environmental and Ecological Statistics 31 (2), 583-604, 2024
12024
Cubature scheme for spatio-temporal Poisson point processes estimation
N D'Angelo, G Adelfio
arXiv preprint arXiv:2403.10878, 2024
12024
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