Laura Maria Sangalli

Full Professor

Contact Information

Phone:
+39 02 2399 4554
Fax:
+39 02 2399 4568
Office:
Ed. 14 - Nave
Email:
Personal web page:

Keywords

Statistical learning
Geosciences/Protection of Land and Water Resources
Computational Medicine for the Cardiocirculatory System
Health Analytics
Living Systems and Precision Medicine

Publications

    

Available MOX Reports

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
FERRACCIOLI, F.; SANGALLI, L.M.; FINOS, L.
Nonparametric tests for semiparametric regression models
ARNONE, E.; DE FALCO, C.; FORMAGGIA, L.; MERETTI, G.; SANGALLI, L.M.
Computationally efficient techniques for Spatial Regression with Differential Regularization
ELíAS, A.; JIMéNEZ, R.; PAGANONI, A.M.; SANGALLI, L.M.
Integrated Depths for Partially Observed Functional Data
ARNONE, A.; FERRACCIOLI, F.; PIGOLOTTI, C.; SANGALLI, L.M.
A roughness penalty approach to estimate densities over two-dimensional manifolds
CLEMENTI, L.; GREGORIO, C; SAVARè, L.; IEVA, F; SANTAMBROGIO, M.D.; SANGALLI, L.M.
A Functional Data Analysis Approach to Left Ventricular Remodeling Assessment
ARNONE, E.; SANGALLI, L.M.; VICINI, A.
Smoothing spatio-temporal data with complex missing data patterns
FERRACCIOLI, F.; SANGALLI, L.M.; FINOS, L.
Some first inferential tools for spatial regression with differential regularization
PONTI, L.; PEROTTO, S.; SANGALLI, L.M.
A PDE-regularized smoothing method for space-time data over manifolds with application to medical data
SANGALLI, L.M.
Spatial regression with partial differential equation regularization
FERRACCIOLI, F.; ARNONE, E.; FINOS, L.; RAMSAY, J.O.; SANGALLI, L.M.
Nonparametric density estimation over complicated domains
SCIMONE, R.; MENAFOGLIO, A.; SANGALLI, L.M.; SECCHI, P.
A look at the spatio-temporal mortality patterns in Italy during the COVID-19 pandemic through the lens of mortality densities
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
SANGALLI, L.M.
A novel approach to the analysis of spatial and functional data over complex domains
ARNONE, E.; AZZIMONTI, L.; NOBILE, F.; SANGALLI, L.M.
Modeling spatially dependent functional data via regression with differential regularization
STEFANUCCI, M.; SANGALLI, L.M.; BRUTTI, P.
PCA-based discrimination of partially observed functional data, with an application to Aneurisk65 dataset
BERNARDI, M.S.; CAREY, M.; RAMSAY, J.O.; SANGALLI, L.M.
Modeling spatial anisotropy via regression with partial di fferential regularization
BERNARDI, M.S.; SANGALLI, L.M.
Modelling spatially dependent functional data by spatial regression with differential regularization
LILA, E.; ASTON, J.A.D.; SANGALLI, L.M.
Smooth Principal Component Analysis over two-dimensional manifolds with an application to Neuroimaging
WILHELM, M.; SANGALLI, L.M.
Generalized Spatial Regression with Differential Regularization
WILHELM, M.; DEDè, L.; SANGALLI, L.M.; WILHELM, P.
IGS: an IsoGeometric approach for Smoothing on surfaces
BERNARDI, M.S.; MAZZA, G.; RAMSAY, J.O.; SANGALLI, L.M.
A separable model for spatial functional data with application to the analysis of the production of waste in Venice province
MARRON, J.S.; RAMSAY, J.O.; SANGALLI, L.M.; SRIVASTAVA, A.
Functional Data Analysis of Amplitude and Phase Variation
MARRON, J.S.; RAMSAY, J.O.; SANGALLI, L.M.; SRIVASTAVA, A.
Statistics of Time Warpings and Phase Variations
SANGALLI, L.M.; SECCHI, P.; VANTINI, S.
Analysis of AneuRisk65 data: K-mean Alignment
SANGALLI, L.M.; SECCHI, P.; VANTINI, S.
AneuRisk65: a dataset of three-dimensional cerebral vascular geometries
PATRIARCA, M.; SANGALLI, L.M.; SECCHI, P.; VANTINI, S.
Analysis of Spike Train Data: an Application of K-mean Alignment
BERNARDI, M.; SANGALLI, L.M.; SECCHI, P.; VANTINI, S.
Analysis of Juggling Data: an Application of K-mean Alignment
BERNARDI, M.; SANGALLI, L.M.; SECCHI, P.; VANTINI, S.
Analysis of Proteomics data: Block K-mean Alignment
DASSI, F.; ETTINGER, B.; PEROTTO, S.; SANGALLI, L.M.
A mesh simplification strategy for a spatial regression analysis over the cortical surface of the brain
SøRENSEN, H.; GOLDSMITH, J.; SANGALLI, L.M.
An introduction with medical applications to functional data analysis
AZZIMONTI, L.; NOBILE, F.; SANGALLI, L.M.; SECCHI, P.
Mixed Finite Elements for spatial regression with PDE penalization
AZZIMONTI, L.; SANGALLI, L.M.; SECCHI, P.; DOMANIN, M.; NOBILE, F.
Blood flow velocity field estimation via spatial regression with PDE penalization
ETTINGER, B., PEROTTO, S.; SANGALLI, L.M.
Spatial regression models over two-dimensional manifolds
ETTINGER, B.; PASSERINI, T.;PEROTTO, S.; SANGALLI, L.M.
Regression models for data distributed over non-planar domains
SANGALLI, L.M.; RAMSAY, J.O.; RAMSAY, T.O.
Spatial Spline Regression Models
PASSERINI, T.; SANGALLI, L.; VANTINI, S.; PICCINELLI, M.; BACIGALUPPI, S.; ANTIGA, L.; BOCCARDI, E.; SECCHI, P.; VENEZIANI, A.
An Integrated Statistical Investigation of the Internal Carotid Arteries hosting Cerebral Aneurysms
PIGOLI, D.; SANGALLI, L.
Wavelets in Functional Data Analysis: estimation of multidimensional curves and their derivatives
DALLA ROSA, M.; SANGALLI, L. M.; VANTINI, S.
Dimensional Reduction of Functional Data by means of Principal Differential Analysis
SANGALLI, LAURA M.; SECCHI, PIERCESARE; VANTINI, SIMONE; VITELLI, VALERIA
Joint Clustering and Alignment of Functional Data: an Application to Vascular Geometries
SANGALLI, LAURA M.; SECCHI, PIERCESARE; VANTINI, SIMONE; VITELLI, VALERIA
Functional clustering and alignment methods with applications
BONAVENTURA, LUCA; CASTRUCCIO, STEFANO; SANGALLI, LAURA M.
A Bayesian approach to geostatistical interpolation with exible variogram models
SANGALLI, LAURA MARIA; SECCHI, PIERCESARE; VANTINI, SIMONE; VITELLI, VALERIA
K-means alignment for curve clustering
COLECCHIA, MAURIZIO; NICOLAI, NICOLA; SECCHI, PIERCESARE; BANDIERAMONTE, GAETANO; PAGANONI, ANNA M.; SANGALLI , LAURA M.; PIVA, LUIGI; SALVIONI, ROBERTO
Penile Superficial Squamous cell Carcinoma (SCC) Submitted to CO2 Laser Excision only: Oncologic Outcome of T1 Disease in 25 Years-Long Experience
SANGALLI, LAURA M.; SECCHI, PIERCESARE; VANTINI, SIMONE; VENEZIANI, ALESSANDRO
A Case Study in Functional Data Analisys: Geometrical Features of the Internal Carotid Artery
SANGALLI, LAURA M.; SECCHI, PIERCESARE; VANTINI, SIMONE; VENEZIANI, ALESSANDRO
Efficient estimation of 3-dimensional centerlines of inner carotid arteries and their curvature functions by free knot regression splines
ROBERTS, GARETH O.; SANGALLI, LAURA M.
Latent diffusion models for event history analysis