* – indicates Corresponding Author
# – indicates a supervised Master student, PhD student or Postdoctoral collaborator

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. 
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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. 

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.

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. 
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Other publications by Laura M. Sangalli