Piercesare Secchi

Full Professor
Settore disciplinare SECS/S01

Contact Information

Phone:
+39 02 2399 4592
Fax:
+39 02 2399 4568
Office:
Ed. 14 - Nave
Email:

Keywords

Statistical learning
Geosciences/Protection of Land and Water Resources
Sustainable mobility

Publications

    

Available MOX Reports

GALLIANI, G.; SECCHI, P.; IEVA, F.
Estimation of dynamic Origin–Destination matrices in a railway transportation network integrating ticket sales and passenger count data
DOMANIN D. A.; PEGORARO M.; TRIMARCHI S.; DOMANIN M.; SECCHI P.
Persistence diagrams for exploring the shape variability of abdominal aortic aneurysms
IEVA, F.; GALLIANI, G.; SECCHI, P.
The impact of public transport on the diffusion of COVID-19 pandemie in Lombardy during 2020
PELI, R.; DOVERA, L.; FIGHERA, G.; MENAFOGLIO, A.; SECCHI, P.
Forecasting Oil Production Rates in Primary Depletion using the Physics-based Residual Kriging functional approach
BARBI, C.; MENAFOGLIO, A; SECCHI, P.
An object-oriented approach to the analysis of spatial complex data over stream-network domains
TORTI, A.; GALVANI, M.; URBANO, V.; ARENA, M.; AZZONE, G.; SECCHI, P.; VANTINI, S.
Analysing transportation system reliability: the case study of the metro system of Milan
SCIMONE, R.; MENAFOGLIO, A.; SANGALLI, L.M.; SECCHI, P.
A look at the spatio-temporal mortality patterns in Italy during the COVID-19 pandemic through the lens of mortality densities
SCIMONE, R.; TAORMINA, T.; COLOSIMO, B. M.; GRASSO, M.; MENAFOGLIO, A.; SECCHI, P.
Statistical modeling and monitoring of geometrical deviations in complex shapes with application to Additive Manufacturing
TORTI, A.; GALVANI, M.; MENAFOGLIO, A.; SECCHI, P.; VANTINI S.
A General Bi-clustering Algorithm for Hilbert Data: Analysis of the Lombardy Railway Service
PELI, R.; MENAFOGLIO, A.; CERVINO, M.; DOVERA, L.; SECCHI, P;
Physics-based Residual Kriging for dynamically evolving functional random fields
TORTI, A.; MARIKA, A.; AZZONE, G.; SECCHI, P.; VANTINI S.
Bridge closure in the road network of Lombardy: a spatio-temporal analysis of the socio-economic impacts
ARNONE, E.; BERNARDI, M. S.; SANGALLI, L. M.; SECCHI, P.
Analysis of Telecom Italia mobile phone data by space-time regression with differential regularization
DIDKOVSKYI, O.; AZZONE, G.; MENAFOGLIO A.; SECCHI P.
Social and material vulnerability in the face of seismic hazard: an analysis of the Italian case
MENAFOGLIO, A.; SECCHI, P.
O2S2: a new venue for computational geostatistics
BOSCHI, T.; CHIAROMONTE, F.; SECCHI, P.; LI, B.
Covariance based low-dimensional registration for function-on-function regression
MENAFOGLIO, A.; PIGOLI, D.; SECCHI, P.
Kriging Riemannian Data via Random Domain Decompositions
MENAFOGLIO, A.; GAETANI, G.; SECCHI, P.
Random Domain Decompositions for object-oriented Kriging over complex domains
MENAFOGLIO, A.; GRASSO, M.; SECCHI, P.; COLOSIMO, B.M.
Profile Monitoring of Probability Density Functions via Simplicial Functional PCA with application to Image Data
PIERCESARE SECCHI
On the role of statistics in the era of big data: a call for a debate
CABASSI A.; PIGOLI D.; SECCHI P.; CARTER P.A.
Permutation tests for the equality of covariance operators of functional data with applications to evolutionary biology
MENAFOGLIO, A.; SECCHI, P.
Statistical analysis of complex and spatially dependent data: a review of Object Oriented Spatial Statistics
MENAFOGLIO, A.; GUADAGNINI, A.; SECCHI, P.
Stochastic Simulation of Soil Particle-Size Curves in Heterogeneous Aquifer Systems through a Bayes space approach
GRASSO, M.; MENAFOGLIO, A.; COLOSIMO, B.M.; SECCHI, P.
Using Curve Registration Information for Profile Monitoring
ARENA, M.; AZZONE, G.; SECCHI, P.; VANTINI, S.
Reputational risk and corporate finance: A multi-event model
MENAFOGLIO, A.; SECCHI, P.; GUADAGNINI, A.
A Class-Kriging predictor for Functional Compositions with Application to Particle-Size Curves in Heterogeneous Aquifers
SECCHI, P.; VANTINI, S.; ZANINI, P.
Hierarchical Independent Component Analysis: a multi-resolution non-orthogonal data-driven basis
PIGOLI, D.; MENAFOGLIO, A.; SECCHI, P.
Kriging prediction for manifold-valued random field
SANGALLI, L.M.; SECCHI, P.; VANTINI, S.
Analysis of AneuRisk65 data: K-mean Alignment
SANGALLI, L.M.; SECCHI, P.; VANTINI, S.
AneuRisk65: a dataset of three-dimensional cerebral vascular geometries
PATRIARCA, M.; SANGALLI, L.M.; SECCHI, P.; VANTINI, S.
Analysis of Spike Train Data: an Application of K-mean Alignment
BERNARDI, M.; SANGALLI, L.M.; SECCHI, P.; VANTINI, S.
Analysis of Juggling Data: an Application of K-mean Alignment
BERNARDI, M.; SANGALLI, L.M.; SECCHI, P.; VANTINI, S.
Analysis of Proteomics data: Block K-mean Alignment
MENAFOGLIO, A; GUADAGNINI, A; SECCHI, P
A Kriging Approach based on Aitchison Geometry for the Characterization of Particle-Size Curves in Heterogeneous Aquifers
AZZIMONTI, L.; NOBILE, F.; SANGALLI, L.M.; SECCHI, P.
Mixed Finite Elements for spatial regression with PDE penalization
AZZIMONTI, L.; SANGALLI, L.M.; SECCHI, P.; DOMANIN, M.; NOBILE, F.
Blood flow velocity field estimation via spatial regression with PDE penalization
SECCHI, P.; VANTINI, S.; VITELLI, V.
A Case Study on Spatially Dependent Functional Data: the Analysis of Mobile Network Data for the Metropolitan Area of Milan
PIGOLI, D.; ASTON, J.A.D.; DRYDEN, I.L.; SECCHI, P.
Distances and Inference for Covariance Functions
MENAFOGLIO, A.; DALLA ROSA, M.; SECCHI, P.
A Universal Kriging predictor for spatially dependent functional data of a Hilbert Space
PIGOLI, D.; SECCHI,P.
Estimation of the mean for spatially dependent data belonging to a Riemannian manifold
MANFREDINI, F.; PUCCI, P.; SECCHI, P.; TAGLIOLATO, P.; VANTINI, S.; VITELLI, V.
Treelet decomposition of mobile phone data for deriving city usage and mobility pattern in the Milan urban region
SECCHI, P.; VANTINI, S.; VITELLI, V.
Bagging Voronoi classifiers for clustering spatial functional data
PASSERINI, T.; SANGALLI, L.; VANTINI, S.; PICCINELLI, M.; BACIGALUPPI, S.; ANTIGA, L.; BOCCARDI, E.; SECCHI, P.; VENEZIANI, A.
An Integrated Statistical Investigation of the Internal Carotid Arteries hosting Cerebral Aneurysms
IEVA, F.; PAGANONI, A.M.; SECCHI, P.
Mining Administrative Health Databases for epidemiological purposes: a case study on Acute Myocardial Infarctions diagnoses
SECCHI, P.; STAMM, A.; VANTINI, S.
Large p Small n Data: Inference for the Mean
FLOURNOY, N.; MAY, C.; SECCHI, P.
Response-adaptive designs in clinical trials for targeting the best treatment: an overview
SANGALLI, LAURA M.; SECCHI, PIERCESARE; VANTINI, SIMONE; VITELLI, VALERIA
Joint Clustering and Alignment of Functional Data: an Application to Vascular Geometries
SANGALLI, LAURA M.; SECCHI, PIERCESARE; VANTINI, SIMONE; VITELLI, VALERIA
Functional clustering and alignment methods with applications
BARBIERI, P.; GRIECO, N.; IEVA, F.; PAGANONI, A. M.; SECCHI, P.
Exploitation, integration and statistical analysis of Public Health Database and STEMI archive in Lombardia Region
DI MAIO, FRANCESCO; SECCHI, PIERCESARE; VANTINI, SIMONE; ZIO, ENRICO
Optimized Fuzzy C-Means Clustering and Functional Principal Components for Post-Processing Dynamic Scenarios in the Reliability Analysis of a Nuclear System
ACCOTO, NADIA; RYDéN, TOBIAS; SECCHI, PIERCESARE
Bayesian hidden Markov models for performance-based regulation of continuity of electricity supply
ALETTI, GIACOMO; MAY, CATERINA; SECCHI, PIERCESARE
A functional equation whose unknown is P ([0, 1]) valued
ALETTI, GIACOMO; MAY, CATERINA; SECCHI, PIERCESARE
A Central Limit Theorem, and related results, for two-color randomly reinforced urn
SANGALLI, LAURA MARIA; SECCHI, PIERCESARE; VANTINI, SIMONE; VITELLI, VALERIA
K-means alignment for curve clustering
SECCHI, PIERCESARE; ZIO, ENRICO; DI MAIO, FRANCESCO
Quantifying Uncertainties in the Estimation of Safety Parameters by Using Bootstrapped Artificial Neural Networks
FUMAGALLI, E.; LO SCHIAVO, L.; PAGANONI, A. M.; SECCHI, P.
Statistical analyses of exceptional events: the Italian experience
COLECCHIA, MAURIZIO; NICOLAI, NICOLA; SECCHI, PIERCESARE; BANDIERAMONTE, GAETANO; PAGANONI, ANNA M.; SANGALLI , LAURA M.; PIVA, LUIGI; SALVIONI, ROBERTO
Penile Superficial Squamous cell Carcinoma (SCC) Submitted to CO2 Laser Excision only: Oncologic Outcome of T1 Disease in 25 Years-Long Experience
SANGALLI, LAURA M.; SECCHI, PIERCESARE; VANTINI, SIMONE; VENEZIANI, ALESSANDRO
A Case Study in Functional Data Analisys: Geometrical Features of the Internal Carotid Artery
SANGALLI, LAURA M.; SECCHI, PIERCESARE; VANTINI, SIMONE; VENEZIANI, ALESSANDRO
Efficient estimation of 3-dimensional centerlines of inner carotid arteries and their curvature functions by free knot regression splines
ALETTI, G.; MAY, C.; SECCHI, PIERCESARE
On the distribution of the limit proportion for a two-color, randomly reinforced urn with equal reinforcement distributions
OLGIATI, EMANUELA; PAGLIERI, LUCA; SALVATI, SIMONETTA; SECCHI, PIERCESARE
Storia di un Caso: Intervalli di Confidenza per una Proporzione per la regolazione della qualità del servizio nel settore energetico nazionale
PAGANONI, ANNA MARIA; SECCHI, PIERCESARE
A numerical study for comparing two response-adaptive designs for continuous treatment effects
MULIERE, PIETRO; PAGANONI, ANNA MARIA; SECCHI, PIERCESARE
A two-color, randomly reinforced urn
FUMAGALLI, ELENA; LO SCHIAVO,LUCA; SALVATI, SIMONETTA; SECCHI,PIERCESARE
Statistical Identification of Major Event Days: An Application to Continuity Of Supply Regulation In Italy
SECCHI, PIERCESARE
A game between two Bayesians for estimating the mean of a Gaussian distribution
PAGANONI, ANNA MARIA; SECCHI PIERCESARE
Interacting reinforced urn systems