Simone Vantini
Simone Vantini
Associate Professor of Statistics, MOX - Department of Mathematics, Politecnico di Milano
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TitleCited byYear
A case study in exploratory functional data analysis: geometrical features of the internal carotid artery
LM Sangalli, P Secchi, S Vantini, A Veneziani
Journal of the American Statistical Association 104 (485), 37-48, 2009
K-mean alignment for curve clustering
LM Sangalli, P Secchi, S Vantini, V Vitelli
Computational Statistics & Data Analysis 54 (5), 1219-1233, 2010
Efficient estimation of three‐dimensional curves and their derivatives by free‐knot regression splines, applied to the analysis of inner carotid artery centrelines
LM Sangalli, P Secchi, S Vantini, A Veneziani
Journal of the Royal Statistical Society: Series C (Applied Statistics) 58 …, 2009
IFN-γ produced by human papilloma virus-18 E6-specific CD4+ T cells predicts the clinical outcome after surgery in patients with high-grade cervical lesions
S Seresini, M Origoni, F Lillo, L Caputo, AM Paganoni, S Vantini, ...
The Journal of Immunology 179 (10), 7176-7183, 2007
An integrated statistical investigation of internal carotid arteries of patients affected by cerebral aneurysms
T Passerini, LM Sangalli, S Vantini, M Piccinelli, S Bacigaluppi, L Antiga, ...
Cardiovascular Engineering and Technology 3 (1), 26-40, 2012
Government 2.0: A gartner definition
A DiMaio
Gartner Industry Research. Stanford, CT: Gartner Inc, 2009
On the Definition of Phase and Amplitude Variability in Functional Data Analysis
S Vantini
S.Co. 2009 Complex Models and Computational Intensive Methods for Estimation …, 2009
Analysis of spatio-temporal mobile phone data: a case study in the metropolitan area of Milan
P Secchi, S Vantini, V Vitelli
Statistical Methods & Applications 24 (2), 279-300, 2015
Treelet decomposition of mobile phone data for deriving city usage and mobility pattern in the Milan urban region
F Manfredini, P Pucci, P Secchi, P Tagliolato, S Vantini, V Vitelli
Advances in complex data modeling and computational methods in statistics …, 2015
Functional clustering and alignment methods with applications
LM Sangalli, P Secchi, S Vantini, V Vitelli
Communications in Applied and Industrial Mathematics 1 (1), 205-224, 2010
Interval-wise testing for functional data
A Pini, S Vantini
Journal of Nonparametric Statistics 29 (2), 407-424, 2017
Bagging Voronoi classifiers for clustering spatial functional data
P Secchi, S Vantini, V Vitelli
International Journal of Applied Earth Observation and Geoinformation 22, 53-64, 2013
The interval testing procedure: A general framework for inference in functional data analysis
A Pini, S Vantini
Biometrics 72 (3), 835-845, 2016
Analysis of AneuRisk65 data: -mean alignment
LM Sangalli, P Secchi, S Vantini
Electronic Journal of Statistics 8 (2), 1891-1904, 2014
Fuzzy C-means clustering of signal functional principal components for post-processing dynamic scenarios of a nuclear power plant digital instrumentation and control system
F Di Maio, P Secchi, S Vantini, E Zio
IEEE Transactions on Reliability 60 (2), 415-425, 2011
AneuRisk65: A dataset of three-dimensional cerebral vascular geometries
LM Sangalli, P Secchi, S Vantini
Electronic Journal of Statistics 8 (2), 1879-1890, 2014
Hierarchical independent component analysis: a multi-resolution non-orthogonal data-driven basis
P Secchi, S Vantini, P Zanini
Computational Statistics & Data Analysis 95, 133-149, 2016
The interval testing procedure: inference for functional data controlling the family wise error rate on intervals
A Pini, S Vantini
MOX-Report 13, 2013, 2013
One-leg hop kinematics 20 years following anterior cruciate ligament rupture: Data revisited using functional data analysis
K Hébert-Losier, A Pini, S Vantini, J Strandberg, K Abramowicz, L Schelin, ...
Clinical Biomechanics 30 (10), 1153-1161, 2015
Inference for the Mean of Large p Small n Data: a Finite-Sample High-Dimensional Generalization of Hotelling's Theorem
P Secchi, A Stamm, S Vantini
Electronic Journal of Statististics 7, 2005–2031., 2013
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