Laura M. Sangalli

发表

K-mean Alignment for Curve Clustering

Simone Vantini, Piercesare Secchi, Valeria Vitelli, 2010, Comput. Stat. Data Anal..

PCA‐based discrimination of partially observed functional data, with an application to AneuRisk65 data set

Pierpaolo Brutti, Laura M. Sangalli, Marco Stefanucci, 2018 .

Estimating Surfaces and Spatial Fields via Regression Models with Differential Regularization

Laura M. Sangalli, 2015 .

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

Laura M. Sangalli, L. Sangalli, 2020, Quality Engineering.

Modeling spatial anisotropy via regression with partial differential regularization

James O. Ramsay, Laura M. Sangalli, Mara S. Bernardi, 2018, J. Multivar. Anal..

Functional Data Analysis of Amplitude and Phase Variation

J. S. Marron, Anuj Srivastava, James O. Ramsay, 2015, 1512.03216.

FunChIP: an R/Bioconductor package for functional classification of ChIP-seq shapes

Simone Vantini, Marco J. Morelli, Piercesare Secchi, 2017, Bioinform..

ANALYSIS OF CEREBRAL VASCULAR MORPHOLOGIES FOR ASSESSING RUPTURE RISK IN CEREBRAL ANEURYSMS

Simone Vantini, Alessandro Veneziani, Laura M. Sangalli, 2008 .

A Functional Data Analysis Approach to the Estimation of Densities over Complex Regions

Federico Ferraccioli, Laura M. Sangalli, Livio Finos, 2020 .

Principal differential analysis of the Aneurisk65 data set

Simone Vantini, Laura M. Sangalli, Matilde Dalla Rosa, 2014, Adv. Data Anal. Classif..

A Depth for Censured Functional Data

Anna Maria Paganoni, Laura M. Sangalli, Antonio Elías Fernández, 2019 .

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

Simone Vantini, Piercesare Secchi, Valeria Vitelli, 2012 .

Functional Data Analysis of the Geometrical Features of the Internal Carotid Artery

Simone Vantini, Piercesare Secchi, Alessandro Veneziani, 2008 .

Peak shape clustering reveals biological insights

Marzia A. Cremona, Simone Vantini, Piercesare Secchi, 2015, BMC Bioinformatics.

Free knot regression splines for 3-dimensional functional data, with applications to the analysis of Inner Carotid Artery centerlines

Simone Vantini, Laura M. Sangalli, 2008 .

Wavelets in functional data analysis: Estimation of multidimensional curves and their derivatives

Laura M. Sangalli, Davide Pigoli, L. Sangalli, 2012, Comput. Stat. Data Anal..

Mixed Finite Elements for Spatial Regression with PDE Penalization

Fabio Nobile, Piercesare Secchi, Laura Azzimonti, 2014, SIAM/ASA J. Uncertain. Quantification.

Modeling spatially dependent functional data via regression with differential regularization

Fabio Nobile, Laura Azzimonti, Laura M. Sangalli, 2019, J. Multivar. Anal..

Functional data analysis for 3D-geometries of the inner carotid artery

Simone Vantini, Piercesare Secchi, Laura M. Sangalli, 2007 .

Analysis of Telecom Italia Mobile Phone Data by Space-time Regression with Differential Regularization

Piercesare Secchi, Laura M. Sangalli, Mara S. Bernardi, 2020, Functional and High-Dimensional Statistics and Related Fields.

VBSCan Split 2017 Workshop Summary : arXiv

Darren Price, Markus Schumacher, Andreas Hinzmann, 2018 .

Functional clustering and alignment

Simone Vantini, Piercesare Secchi, Valeria Vitelli, 2010 .

Curve matching, a generalized framework for models/experiments comparison: An application to n-heptane combustion kinetic mechanisms

Tiziano Faravelli, Piercesare Secchi, Alessio Frassoldati, 2016 .

FIRB Futuro in Ricerca: Advanced statistical and numerical methods for the analysis of high dimensional functional data in life sciences and engineering

Simona Perotto, John A. D. Aston, Laura M. Sangalli, 2010 .

Latent diffusion models for event history analysis

Gareth O. Roberts, Laura M. Sangalli, 2007 .

Spatial Regression With Partial Differential Equation Regularisation

Laura M. Sangalli, L. Sangalli, 2021, International Statistical Review.

Nonparametric density estimation over complicated domains

Federico Ferraccioli, James O. Ramsay, Laura M. Sangalli, 2021, Journal of the Royal Statistical Society: Series B (Statistical Methodology).

Spatial Smoothing for Data Distributed over Non-planar Domains

Simona Perotto, Tiziano Passerini, Laura M. Sangalli, 2013 .

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

John A. D. Aston, Laura M. Sangalli, Eardi Lila, 2016, 1601.03670.

AneuRisk65: A dataset of three-dimensional cerebral vascular geometries

Simone Vantini, Piercesare Secchi, Laura M. Sangalli, 2014 .

Blood Flow Velocity Field Estimation Via Spatial Regression With PDE Penalization

Fabio Nobile, Piercesare Secchi, Laura Azzimonti, 2015 .

Regression with Partial Differential Regularizations, using theFinite Element Method

James O. Ramsay, Luca Formaggia, Laura M. Sangalli, 2016 .

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

Simona Perotto, Franco Dassi, Laura M. Sangalli, 2015 .

Special issue on functional data analysis

Piotr Kokoszka, Laura M. Sangalli, Byeong U. Park, 2017 .

Efficient estimation of three‐dimensional curves and their derivatives by free‐knot regression splines, applied to the analysis of inner carotid artery centrelines

Simone Vantini, Piercesare Secchi, Alessandro Veneziani, 2009 .

IGS: an IsoGeometric approach for Smoothing on surfaces

Luca Dede, Laura M. Sangalli, Matthieu Wilhelm, 2015, 1508.05214.

Spatial regression models over two-dimensional manifolds

Simona Perotto, Laura M. Sangalli, Bree Ettinger, 2016 .

Analysis of proteomics data: Block k-mean alignment

Simone Vantini, Piercesare Secchi, Laura M. Sangalli, 2014 .

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

Luca Antiga, Simone Vantini, Piercesare Secchi, 2011 .

Spatial regression with PDE penalization: an application to blood velocity field estimation

Piercesare Secchi, Laura Azzimonti, Laura M. Sangalli, 2013 .

Analysis of AneuRisk65 data: $k$-mean alignment

Simone Vantini, Piercesare Secchi, Laura M. Sangalli, 2014 .

Wavelets Smoothing for Multidimensional Curves

Laura M. Sangalli, Davide Pigoli, 2011 .

Invariant Natural Killer T-cell reconstitution in pediatric leukemia patients given HLA-haploidentical stem cell transplantation defines distinct CD4+ and CD4- subset dynamics and associates with the remission state

Anna Maria Paganoni, Laura Azzimonti, Laura M. Sangalli, 2011 .

Curve clustering for misaligned data: the k-mean alignment algorithm

Simone Vantini, Piercesare Secchi, Valeria Vitelli, 2009 .

Latent diffusion models for survival analysis

Gareth O. Roberts, Laura M. Sangalli, G. Roberts, 2010, 1010.1688.

Functional regression models: Some directions of future research

Anna Maria Paganoni, Laura M. Sangalli, L. Sangalli, 2017 .

Wavelet smoothing for curves in more than one dimension

Laura M. Sangalli, Davide Pigoli, L. Sangalli, 2010 .

Spatial spline regression models

James O. Ramsay, Laura M. Sangalli, Timothy O. Ramsay, 2013 .

An Integrated Statistical Investigation of Internal Carotid Arteries of Patients Affected by Cerebral Aneurysms

Luca Antiga, Simone Vantini, Piercesare Secchi, 2012 .

Registration of Functional Data: Aligning Inner Carotid Artery Centerlines

Simone Vantini, Laura M. Sangalli, 2008 .

Spatial Functional Data Analysis

James O. Ramsay, Laura M. Sangalli, Tim Ramsay, 2011 .

The role of Statistics in the era of Big Data

Laura M. Sangalli, L. Sangalli, 2018 .

Analysis of spike train data: An application of $k$-mean alignment

Simone Vantini, Piercesare Secchi, Laura M. Sangalli, 2014 .

Rejoinder: Analysis of AneuRisk65 data

Simone Vantini, Piercesare Secchi, Laura M. Sangalli, 2014 .

Regression models for data distributed over non-planar domains

Simona Perotto, Tiziano Passerini, Laura M. Sangalli, 2012 .

Generalized spatial regression with differential regularization

Laura M. Sangalli, Matthieu Wilhelm, L. Sangalli, 2015, 1511.02688.