Staff details

65/2026

Modeling group heterogeneity in spatio-temporal data via physics-informed regression

DE SANCTIS, M.F.; ARNONE, E.; IEVA, F.; SANGALLI, L.M. July 17, 2026

38/2026

Nonparametric estimators over metric graphs

CLEMENTE, A.; ARNONE, E.; MATEU, J.; SANGALLI, L.M. May 14, 2026

63/2025

Spatio-Temporal Intensity Estimation for Inhomogeneous Poisson Point Processes on Linear Networks: A Roughness Penalty Method

PANZERI, S.; CLEMENTE, A.; ARNONE, E.; MATEU, J.; SANGALLI, L.M. October 14, 2025

32/2025

Exploring nitrogen dioxide spatial concentration via physics-informed multiple quantile regression

DE SANCTIS, M.F.; DI BATTISTA, I.; ARNONE, E.; CASTIGLIONE, C.; PALUMMO, A.; BERNARDI, M.; IEVA, F.; SANGALLI, L.M. May 28, 2025

33/2025

A semiparametric space-time quantile regression model

DI BATTISTA, I.; DE SANCTIS, M.F.; ARNONE, E.; CASTIGLIONE, C.; PALUMMO, A.; SANGALLI, L.M. May 28, 2025

98/2024

PDE-regularised spatial quantile regression

CASTIGLIONE, C.; ARNONE, E.; BERNARDI, M.; FARCOMENI, A.; SANGALLI, L.M. November 14, 2024

90/2024

Modeling anisotropy and non-stationarity through physics-informed spatial regression

TOMASETTO, M.; ARNONE, E.; SANGALLI, L.M. November 9, 2024

64/2024

Sign-Flip inference for spatial regression with differential regularization

CAVAZZUTTI, M.; ARNONE, E.; FERRACCIOLI, F.; GALIMBERTI, C.; FINOS, L.; SANGALLI, L.M. September 13, 2024

37/2024

A nonparametric penalized likelihood approach to density estimation of space-time point patterns

BEGU, B.; PANZERI, S.; ARNONE, E.; CAREY, M.; SANGALLI, L.M. April 30, 2024

29/2024

Functional principal component analysis for incomplete space-time data

PALUMMO, A.;, ARNONE, E.; FORMAGGIA, L.; SANGALLI, L.M. March 19, 2024

109/2023

Anatomically compliant modes of variations: new tools for brain connectivity

CLEMENTI, L.; ARNONE, E.; SANTAMBROGIO, M.D.; FRANCESCHETTI, S.; PANZICA, F.; SANGALLI, L.M. December 22, 2023

108/2023

Analyzing data in complicated 3D domains: smoothing, semiparametric regression and functional principal component analysis

ARNONE, E.; NEGRI, L.; PANZICA, F.; SANGALLI, L.M. December 22, 2023

85/2023

Computationally efficient techniques for Spatial Regression with Differential Regularization

ARNONE, E.; DE FALCO, C.; FORMAGGIA, L.; MERETTI, G.; SANGALLI, L.M. November 4, 2023

41/2022

A roughness penalty approach to estimate densities over two-dimensional manifolds

ARNONE, A.; FERRACCIOLI, F.; PIGOLOTTI, C.; SANGALLI, L.M. June 14, 2022

91/2021

Smoothing spatio-temporal data with complex missing data patterns

ARNONE, E.; SANGALLI, L.M.; VICINI, A. December 16, 2021

31/2021

Nonparametric density estimation over complicated domains

FERRACCIOLI, F.; ARNONE, E.; FINOS, L.; RAMSAY, J.O.; SANGALLI, L.M. June 2, 2021

54/2020

Analysis of Telecom Italia mobile phone data by space-time regression with differential regularization

ARNONE, E.; BERNARDI, M. S.; SANGALLI, L. M.; SECCHI, P. July 23, 2020

53/2020

Some numerical test on the convergence rates of regression with differential regularization

ARNONE, E.; KNEIP, A.; NOBILE, F.; SANGALLI, L. M. July 23, 2020

52/2020

Some first results on the consistency of spatial regression with partial differential equation regularization