Selected papers by Laura M. Sangalli


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Arnone#, E., Kneip, A., Nobile, F. and Sangalli, L.M. (2020),
Some first results on the consistency of spatial regression with partial differential equation regularization,
Statistica Sinica, DOI: 10.5705/ss.202019.0346
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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.
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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.
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Ettinger#, B., Perotto, S., Sangalli, L.M. (2016),
Spatial regression models over two-dimensional manifolds,
Biometrika, 103 (1), 71-88.
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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.
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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.
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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.
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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.
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Sorensen, H., Goldsmith, J., Sangalli, L.M. (2013),
An introduction with medical applications to functional data analysis,
Statistics in Medicine, 32 (30), 5222-5240.
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Roberts, G.O., Sangalli, L.M. (2010),
Latent diffusion models for survival analysis,
Bernoulli, Vol. 16, pp. 435-458.
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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.
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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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