* – indicates Corresponding Author
# – indicates a supervised Master student, PhD student or Postdoctoral collaborator
This list contains few selected papers.
The full list of publications is available at Full pubblications list
Castiglione#, C., Arnone, E., Bernardi, M., Farcomeni, A., and Sangalli*, L.M. (2024),
PDE-regularised spatial quantile regression,
Journal of Multivariate Analysis, DOI: 10.1016/j.jmva.2024.105381.
PDF
Code
Elias#, A., Jimenez, R., Paganoni, A.M. and Sangalli*, L.M. (2022),
Integrated Depths for Partially Observed Functional Data,
Journal of Computational and Graphical Statistics, doi:10.1080/10618600.2022.2070171.
PDF Postprint
Ferraccioli#, F., Arnone#, E., Finos, L., Ramsay, J.O., Sangalli*, L.M. (2021),
Nonparametric density estimation over complicated domains,
Journal of the Royal Statistical Society Ser. B, Statistical Methodology, 83, 346-368.
PDF Code
Arnone#, E., Kneip, A., Nobile, F. and Sangalli*, L.M. (2022),
Some first results on the consistency of spatial regression with partial differential equation regularization,
Statistica Sinica, 32, 209-238.
PDF Postprint
Arnone#, E., Azzimonti#, A., Nobile, F., and Sangalli*, L.M. (2019),
Modelling spatially dependent functional data via regression with differential regularization,
Journal of Multivariate Analysis, 170, 275-295.
PDF Postprint Code
Lila#, E., Aston, J.A.D., Sangalli, L.M. (2016),
Smooth Principal Component Analysis over two-dimensional manifolds with an application to Neuroimaging,
Annals of Applied Statistics, 10 (4), 1854-1879.
PDF Postprint Code
Ettinger#, B., Perotto, S., Sangalli*, L.M. (2016),
Spatial regression models over two-dimensional manifolds,
Biometrika, 103 (1), 71-88.
PDF Postprint Supplementary material Code
Wilhelm#, M., Dede’, L., Sangalli, L.M., Wilhelm, P. (2016),
IGS: an IsoGeometric approach for Smoothing on surfaces,
Computer Methods in Applied Mechanics and Engineering, 302, 70-89.
PDF Postprint
Marron, J.S., Ramsay, J.O., Sangalli, L.M., Srivastava, A. (2015),
Functional Data Analysis of Amplitude and Phase Variation,
Statistical Science, 30 (4), 468-484.
PDF
Azzimonti#, L., Sangalli*, L.M., Secchi, P., Domanin, M., Nobile, F. (2015),
Blood flow velocity field estimation via spatial regression with PDE penalization,
Journal of the American Statistical Association, Theory and Methods, 110 (511), 1057-1071.
PDF Postprint Supplementary material Code
Azzimonti#, L., Nobile, F., Sangalli*, L.M., Secchi, P. (2014),
Mixed Finite Elements for spatial regression with PDE penalization,
SIAM/ASA Journal on Uncertainty Quantification, Vol. 2, No. 1, pp. 305-335.
PDF Postprint Code
Sangalli*, L.M., Ramsay, J.O., Ramsay, T.O. (2013),
Spatial spline regression models,
Journal of the Royal Statistical Society Ser. B, Statistical Methodology, 75, 4, 681-703.
PDF Postprint Code
Sorensen, H., Goldsmith, J., Sangalli, L.M. (2013),
An introduction with medical applications to functional data analysis,
Statistics in Medicine, 32 (30), 5222-5240.
PDF Postprint Data
Roberts, G.O., Sangalli*, L.M. (2010),
Latent diffusion models for survival analysis,
Bernoulli, Vol. 16, pp. 435-458.
PDF
Sangalli, L.M., Secchi, P., Vantini, S., Veneziani, A. (2009),
Efficient estimation of three-dimensional curves and their derivatives by free knot regression splines, applied to the analysis of inner carotid artery centrelines,
Journal of the Royal Statistical Society Ser. C, Applied Statistics, Vol. 58, No. 3, pp. 285-306.
PDF Postprint Data
Sangalli, L.M., Secchi, P., Vantini, S., Veneziani, A. (2009),
A Case Study in Exploratory Functional Data Analysis: Geometrical Features of the Internal Carotid Artery,
Journal of the American Statistical Association, Vol. 104, No. 485, pp. 37-48.
PDF Postprint Data
This list contains few selected papers.
The full list of publications is available at Full pubblications list