Laura Maria Sangalli

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

86/2023

Nonparametric tests for semiparametric regression models

FERRACCIOLI, F.; SANGALLI, L.M.; FINOS, L. November 4, 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

50/2022

Integrated Depths for Partially Observed Functional Data

ELíAS, A.; JIMéNEZ, R.; PAGANONI, A.M.; SANGALLI, L.M. July 28, 2022

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

MOX

20/2022

A Functional Data Analysis Approach to Left Ventricular Remodeling Assessment

CLEMENTI, L.; GREGORIO, C; SAVARè, L.; IEVA, F; SANTAMBROGIO, M.D.; SANGALLI, L.M. April 13, 2022

MOX

91/2021

Smoothing spatio-temporal data with complex missing data patterns

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

MOX

79/2021

Some first inferential tools for spatial regression with differential regularization

FERRACCIOLI, F.; SANGALLI, L.M.; FINOS, L. December 2, 2021

MOX

76/2021

A PDE-regularized smoothing method for space-time data over manifolds with application to medical data

PONTI, L.; PEROTTO, S.; SANGALLI, L.M. November 28, 2021

MOX

32/2021

Spatial regression with partial differential equation regularization

SANGALLI, L.M. June 2, 2021

MOX

31/2021

Nonparametric density estimation over complicated domains

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

MOX

27/2021

A look at the spatio-temporal mortality patterns in Italy during the COVID-19 pandemic through the lens of mortality densities

SCIMONE, R.; MENAFOGLIO, A.; SANGALLI, L.M.; SECCHI, P. May 14, 2021

MOX

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

MOX

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

MOX

52/2020

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

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

MOX

51/2020

A functional data analysis approach to the estimation of densities over complex regions

FERRACCIOLI, F.; SANGALLI, L. M.; ARNONE, E.,; FINOS, L. July 23, 2020

MOX

47/2020

A novel approach to the analysis of spatial and functional data over complex domains

SANGALLI, L.M. July 21, 2020

MOX

48/2018

Modeling spatially dependent functional data via regression with differential regularization

ARNONE, E.; AZZIMONTI, L.; NOBILE, F.; SANGALLI, L.M. September 25, 2018

MOX

47/2018

PCA-based discrimination of partially observed functional data, with an application to Aneurisk65 dataset

STEFANUCCI, M.; SANGALLI, L.M.; BRUTTI, P. September 25, 2018

MOX

45/2018

Modeling spatial anisotropy via regression with partial differential regularization

BERNARDI, M.S.; CAREY, M.; RAMSAY, J.O.; SANGALLI, L.M. August 13, 2018

MOX

44/2018

Modelling spatially dependent functional data by spatial regression with differential regularization

BERNARDI, M.S.; SANGALLI, L.M. August 13, 2018

MOX

46/2016

Smooth Principal Component Analysis over two-dimensional manifolds with an application to Neuroimaging

LILA, E.; ASTON, J.A.D.; SANGALLI, L.M. November 17, 2016

MOX

20/2016

Generalized Spatial Regression with Differential Regularization

WILHELM, M.; SANGALLI, L.M. May 5, 2016

MOX

57/2015

IGS: an IsoGeometric approach for Smoothing on surfaces

WILHELM, M.; DEDè, L.; SANGALLI, L.M.; WILHELM, P. November 2, 2015

MOX

34/2015

A separable model for spatial functional data with application to the analysis of the production of waste in Venice province

BERNARDI, M.S.; MAZZA, G.; RAMSAY, J.O.; SANGALLI, L.M. June 26, 2015

MOX

27/2015

Functional Data Analysis of Amplitude and Phase Variation

MARRON, J.S.; RAMSAY, J.O.; SANGALLI, L.M.; SRIVASTAVA, A. May 25, 2015

MOX

46/2013

Statistics of Time Warpings and Phase Variations

MARRON, J.S.; RAMSAY, J.O.; SANGALLI, L.M.; SRIVASTAVA, A. October 8, 2013

MOX

45/2013

Analysis of AneuRisk65 data: K-mean Alignment

SANGALLI, L.M.; SECCHI, P.; VANTINI, S. October 8, 2013

MOX

44/2013

AneuRisk65: a dataset of three-dimensional cerebral vascular geometries

SANGALLI, L.M.; SECCHI, P.; VANTINI, S. October 7, 2013

MOX

43/2013

Analysis of Spike Train Data: an Application of K-mean Alignment

PATRIARCA, M.; SANGALLI, L.M.; SECCHI, P.; VANTINI, S. October 6, 2013

MOX

42/2013

Analysis of Juggling Data: an Application of K-mean Alignment

BERNARDI, M.; SANGALLI, L.M.; SECCHI, P.; VANTINI, S. October 5, 2013

MOX

41/2013

Analysis of Proteomics data: Block K-mean Alignment

BERNARDI, M.; SANGALLI, L.M.; SECCHI, P.; VANTINI, S. October 4, 2013

MOX

31/2013

A mesh simplification strategy for a spatial regression analysis over the cortical surface of the brain

DASSI, F.; ETTINGER, B.; PEROTTO, S.; SANGALLI, L.M. August 6, 2013

MOX

23/2013

An introduction with medical applications to functional data analysis

SøRENSEN, H.; GOLDSMITH, J.; SANGALLI, L.M. May 22, 2013

MOX

20/2013

Mixed Finite Elements for spatial regression with PDE penalization

AZZIMONTI, L.; NOBILE, F.; SANGALLI, L.M.; SECCHI, P. May 1, 2013

MOX

19/2013

Blood flow velocity field estimation via spatial regression with PDE penalization

AZZIMONTI, L.; SANGALLI, L.M.; SECCHI, P.; DOMANIN, M.; NOBILE, F. April 30, 2013

MOX

54/2012

Spatial regression models over two-dimensional manifolds

ETTINGER, B., PEROTTO, S.; SANGALLI, L.M. December 13, 2012

MOX

22/2012

Regression models for data distributed over non-planar domains

ETTINGER, B.; PASSERINI, T.;PEROTTO, S.; SANGALLI, L.M. May 11, 2012

MOX

08/2012

Spatial Spline Regression Models

SANGALLI, L.M.; RAMSAY, J.O.; RAMSAY, T.O. January 29, 2012

MOX

19/2011

An Integrated Statistical Investigation of the Internal Carotid Arteries hosting Cerebral Aneurysms

PASSERINI, T.; SANGALLI, L.; VANTINI, S.; PICCINELLI, M.; BACIGALUPPI, S.; ANTIGA, L.; BOCCARDI, E.; SECCHI, P.; VENEZIANI, A. May 3, 2011

MOX

09/2011

Wavelets in Functional Data Analysis: estimation of multidimensional curves and their derivatives

PIGOLI, D.; SANGALLI, L. February 18, 2011

MOX

01/2011

Dimensional Reduction of Functional Data by means of Principal Differential Analysis

DALLA ROSA, M.; SANGALLI, L. M.; VANTINI, S. January 5, 2011

MOX

09/2010

Joint Clustering and Alignment of Functional Data: an Application to Vascular Geometries

SANGALLI, LAURA M.; SECCHI, PIERCESARE; VANTINI, SIMONE; VITELLI, VALERIA February 26, 2010

MOX

07/2010

Functional clustering and alignment methods with applications

SANGALLI, LAURA M.; SECCHI, PIERCESARE; VANTINI, SIMONE; VITELLI, VALERIA February 24, 2010

MOX

21/2009

A Bayesian approach to geostatistical interpolation with exible variogram models

BONAVENTURA, LUCA; CASTRUCCIO, STEFANO; SANGALLI, LAURA M. August 20, 2009

MOX

13/2008

K-means alignment for curve clustering

SANGALLI, LAURA MARIA; SECCHI, PIERCESARE; VANTINI, SIMONE; VITELLI, VALERIA June 30, 2008

MOX

26/2007

Penile Superficial Squamous cell Carcinoma (SCC) Submitted to CO2 Laser Excision only: Oncologic Outcome of T1 Disease in 25 Years-Long Experience

COLECCHIA, MAURIZIO; NICOLAI, NICOLA; SECCHI, PIERCESARE; BANDIERAMONTE, GAETANO; PAGANONI, ANNA M.; SANGALLI , LAURA M.; PIVA, LUIGI; SALVIONI, ROBERTO December 12, 2007

MOX

24/2007

A Case Study in Functional Data Analisys: Geometrical Features of the Internal Carotid Artery

SANGALLI, LAURA M.; SECCHI, PIERCESARE; VANTINI, SIMONE; VENEZIANI, ALESSANDRO December 6, 2007

MOX

23/2007

Efficient estimation of 3-dimensional centerlines of inner carotid arteries and their curvature functions by free knot regression splines

SANGALLI, LAURA M.; SECCHI, PIERCESARE; VANTINI, SIMONE; VENEZIANI, ALESSANDRO November 26, 2007

MOX

22/2007

Latent diffusion models for event history analysis

ROBERTS, GARETH O.; SANGALLI, LAURA M. November 20, 2007