Piercesare Secchi
Piercesare Secchi
Professor of Statistics
Потвърден имейл адрес: polimi.it - Начална страница
K-mean alignment for curve clustering
LM Sangalli, P Secchi, S Vantini, V Vitelli
Computational Statistics & Data Analysis 54 (5), 1219-1233, 2010
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
A Universal Kriging predictor for spatially dependent functional data of a Hilbert Space
A Menafoglio, P Secchi, M Dalla Rosa
Electronic Journal of Statistics 7, 2209-2240, 2013
Distances and inference for covariance operators
D Pigoli, JAD Aston, IL Dryden, P Secchi
Biometrika 101 (2), 409-422, 2014
A kriging approach based on Aitchison geometry for the characterization of particle-size curves in heterogeneous aquifers
A Menafoglio, A Guadagnini, P Secchi
Stochastic Environmental Research and Risk Assessment 28 (7), 1835-1851, 2014
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
A randomly reinforced urn
P Muliere, AM Paganoni, P Secchi
Journal of Statistical Planning and Inference 136 (6), 1853-1874, 2006
Urn schemes and reinforced random walks
P Muliere, P Secchi, SG Walker
Stochastic processes and their applications 88 (1), 59-78, 2000
Quantifying uncertainties in the estimation of safety parameters by using bootstrapped artificial neural networks
P Secchi, E Zio, F Di Maio
Annals of Nuclear Energy 35 (12), 2338-2350, 2008
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
Blood flow velocity field estimation via spatial regression with PDE penalization
L Azzimonti, LM Sangalli, P Secchi, M Domanin, F Nobile
Journal of the American Statistical Association 110 (511), 1057-1071, 2015
Statistical analysis of complex and spatially dependent data: a review of object oriented spatial statistics
A Menafoglio, P Secchi
European journal of operational research 258 (2), 401-410, 2017
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
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
Functional clustering and alignment methods with applications
V Vitelli, LM Sangalli, P Secchi, S Vantini
Communications in Applied and Industrial Mathematics 1 (1), 205-224, 2010
Bayesian nonparametric predictive inference and bootstrap techniques
P Muliere, P Secchi
Annals of the Institute of Statistical Mathematics 48 (4), 663-673, 1996
A central limit theorem, and related results, for a two-color randomly reinforced urn
G Aletti, C May, P Secchi
Advances in Applied Probability 41 (3), 829-844, 2009
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
On a two-color generalized Pólya urn
C May, AM Paganoni, P Secchi
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