Skip to content
People
RESEARCH & INNOVATION
Research Areas
FUNDED PROJECTS
Reports and books
Education
Computational Science & Computational Learning (CSCL)
Statistical Learning (STAT)
DISSEMINATION
Mox Colloquia
MOX SEMINARS
Conferences and Workshops
Societal Outreach
Media
News
PRESS
YouTube Channel
Search
Search
Search …
Search
Search
Search …
Search
Search …
Menu
People
RESEARCH & INNOVATION
Research Areas
FUNDED PROJECTS
Reports and books
Education
Computational Science & Computational Learning (CSCL)
Statistical Learning (STAT)
DISSEMINATION
Mox Colloquia
MOX SEMINARS
Conferences and Workshops
Societal Outreach
Media
News
PRESS
YouTube Channel
Home
»
People
»
Staff details
Eleonora Arnone
External Scientific collaborator
RTDB - University of Turin
Contact Information
Phone:
+39 02 2399 4604
Fax:
+39 02 2399 4606
Office:
Ed. 14 - Nave
Email:
Keywords
Statistical learning
Publications
Available MOX Reports
DE SANCTIS, M.F.; DI BATTISTA, I.; ARNONE, E.; CASTIGLIONE, C.; PALUMMO, A.; BERNARDI, M.; IEVA, F.; SANGALLI, L.M.
Exploring nitrogen dioxide spatial concentration via physics-informed multiple quantile regression
DI BATTISTA, I.; DE SANCTIS, M.F.; ARNONE, E.; CASTIGLIONE, C.; PALUMMO, A.; SANGALLI, L.M.
A semiparametric space-time quantile regression model
CASTIGLIONE, C.; ARNONE, E.; BERNARDI, M.; FARCOMENI, A.; SANGALLI, L.M.
PDE-regularised spatial quantile regression
TOMASETTO, M.; ARNONE, E.; SANGALLI, L.M.
Modeling anisotropy and non-stationarity through physics-informed spatial regression
CAVAZZUTTI, M.; ARNONE, E.; FERRACCIOLI, F.; GALIMBERTI, C.; FINOS, L.; SANGALLI, L.M.
Sign-Flip inference for spatial regression with differential regularization
BEGU, B.; PANZERI, S.; ARNONE, E.; CAREY, M.; SANGALLI, L.M.
A nonparametric penalized likelihood approach to density estimation of space-time point patterns
PALUMMO, A.;, ARNONE, E.; FORMAGGIA, L.; SANGALLI, L.M.
Functional principal component analysis for incomplete space-time data
CLEMENTI, L.; ARNONE, E.; SANTAMBROGIO, M.D.; FRANCESCHETTI, S.; PANZICA, F.; SANGALLI, L.M.
Anatomically compliant modes of variations: new tools for brain connectivity
ARNONE, E.; NEGRI, L.; PANZICA, F.; SANGALLI, L.M.
Analyzing data in complicated 3D domains: smoothing, semiparametric regression and functional principal component analysis
ARNONE, E.; DE FALCO, C.; FORMAGGIA, L.; MERETTI, G.; SANGALLI, L.M.
Computationally efficient techniques for Spatial Regression with Differential Regularization
ARNONE, A.; FERRACCIOLI, F.; PIGOLOTTI, C.; SANGALLI, L.M.
A roughness penalty approach to estimate densities over two-dimensional manifolds
ARNONE, E.; SANGALLI, L.M.; VICINI, A.
Smoothing spatio-temporal data with complex missing data patterns
FERRACCIOLI, F.; ARNONE, E.; FINOS, L.; RAMSAY, J.O.; SANGALLI, L.M.
Nonparametric density estimation over complicated domains
ARNONE, E.; BERNARDI, M. S.; SANGALLI, L. M.; SECCHI, P.
Analysis of Telecom Italia mobile phone data by space-time regression with differential regularization
ARNONE, E.; KNEIP, A.; NOBILE, F.; SANGALLI, L. M.
Some numerical test on the convergence rates of regression with differential regularization
ARNONE, E.; KNEIP, A.; NOBILE, F.; SANGALLI, L. M.
Some first results on the consistency of spatial regression with partial differential equation regularization
FERRACCIOLI, F.; SANGALLI, L. M.; ARNONE, E.,; FINOS, L.
A functional data analysis approach to the estimation of densities over complex regions
ARNONE, E.; AZZIMONTI, L.; NOBILE, F.; SANGALLI, L.M.
Modeling spatially dependent functional data via regression with differential regularization