P. Secchi

发表

Functional clustering and alignment methods with applications

L. Sangalli, P. Secchi, S. Vantini, 2010 .

Reinforced random processes in continuous time

Stephen G. Walker, Piercesare Secchi, Pietro Muliere, 2003 .

Non-invasive neuroimaging: Generalized Linear Models for interpreting functional Near Infrared Spectroscopy signals

S. Cerutti, B. Onaral, A. Bianchi, 2007, 2007 3rd International IEEE/EMBS Conference on Neural Engineering.

A Case Study in Exploratory Functional Data Analysis: Geometrical Features of the Internal Carotid Artery

A. Veneziani, L. Sangalli, P. Secchi, 2009 .

Inference for the mean of large $p$ small $n$ data: A finite-sample high-dimensional generalization of Hotelling’s theorem

Simone Vantini, Piercesare Secchi, Aymeric Stamm, 2013 .

Interacting reinforced-urn systems

Anna Maria Paganoni, Piercesare Secchi, P. Secchi, 2004, Advances in Applied Probability.

A central limit theorem, and related results, for a two-color randomly reinforced urn

P. Secchi, P. Secchi, G. Aletti, 2008, Advances in Applied Probability.

O2S2: A new venue for computational geostatistics

Alessandra Menafoglio, Piercesare Secchi, P. Secchi, 2019, Applied Computing and Geosciences.

Blood Flow Velocity Field Estimation Via Spatial Regression With PDE Penalization

Fabio Nobile, Piercesare Secchi, Laura Azzimonti, 2015 .

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 .

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

Luca Antiga, Simone Vantini, Piercesare Secchi, 2011 .

Kriging Riemannian Data via Random Domain Decompositions

P. Secchi, A. Menafoglio, D. Pigoli, 2018, J. Comput. Graph. Stat..

A kriging approach based on Aitchison geometry for the characterization of particle-size curves in heterogeneous aquifers

Alberto Guadagnini, Alessandra Menafoglio, Piercesare Secchi, 2014, Stochastic Environmental Research and Risk Assessment.

Simulation and modeling of spatially correlated positive definite symmetric matrices

P. Secchi, D. Pigoli, 2011 .

A Functional Equation Whose Unknown is $\mathcal{P}([0,1])$ Valued

P. Secchi, G. Aletti, C. May, 2009, 0905.3310.

MOX-Report No . 07 / 2017 Permutation tests for the equality of covariance operators of functional data with applications to evolutionary

P. Secchi, P. Carter, D. Pigoli, 2017 .

MOX – Report No . 41 / 2013 Analysis of Proteomics data : Block K-mean Alignment Bernardi

L. Sangalli, P. Secchi, S. Vantini, 2013 .

A Case Study on Spatially Dependent Functional Data : the Analysis of Mobile Network Data for the Metropolitan Area of Milan

P. Secchi, S. Vantini, V. Vitelli, 2012 .

Classification of Functional Data: Unsupervised Curve Clustering When Curves are Misaligned

L. Sangalli, P. Secchi, S. Vantini, 2010 .

PDE penalization for spatial fields smoothing

L. Sangalli, P. Secchi, M. Domanin, 2012 .

Analysis of juggling data: An application of $k$-mean alignment

Mara S. Bernardi, L. Sangalli, P. Secchi, 2014 .

Geostatistical Analysis in Bayes Spaces: Probability Densities and Compositional Data

A. Guadagnini, P. Secchi, A. Menafoglio, 2021, Geostatistical Functional Data Analysis.

Clustering misaligned dependent curves applied to varved lake sediment for climate reconstruction

P. Secchi, S. Vantini, V. Vitelli, 2016, Stochastic Environmental Research and Risk Assessment.

MOX – Report No . 13 / 2008 K-means alignment for curve clustering

L. Sangalli, P. Secchi, S. Vantini, 2008 .

Weak Convergence of a Dirichlet-Multinomial Process

Piercesare Secchi, Pietro Muliere, P. Muliere, 2003 .

Prediction of nonstationary functional data: Universal Kriging in a Hilbert Space

P. Secchi, A. Menafoglio, M. D. Rosa, 2012 .

Complex Data Modeling and Computationally Intensive Statistical Methods

Piercesare Secchi, Pietro Mantovan, P. Mantovan, 2010 .

On the existence of good stationary strategies for nonleavable stochastic games

P. Secchi, 1998 .

A Simple Two-Person Stochastic Game with Money

W. Sudderth, P. Secchi, 2005 .

Response-adaptive designs in clinical trials for targeting the best treatment: an overview

P. Secchi, 2016 .

MOX – Report No . 6 / 2008 Statistical analyses of exceptional events : the Italian experiences

E. Fumagalli, P. Secchi, A. Paganoni, 2008 .

Persistently Good Strategies for Nonleavable Stochastic Games With Finite State Space

W. Sudderth, P. Secchi, 2001 .

Income Thresholds and Income Classes

P. Muliere, P. Secchi, C. D’Ambrosio, 2003 .

FUNCTIONAL PRINCIPAL COMPONENT ANALYSIS FOR DYNAMIC FAULT SCENARIO CLASSIFICATION

P. Milano, E. Zio, F. Maio, 2009 .

Physics-based Residual Kriging for dynamically evolving functional random fields

P. Secchi, L. Dovera, A. Menafoglio, 2022, Stochastic Environmental Research and Risk Assessment.

On a two-color generalized Polya urn

Anna Maria Paganoni, Piercesare Secchi, Caterina May, 2005 .

Exchangeability, predictive sufficiency and Bayesian bootstrap

P. Muliere, P. Secchi, 1992 .

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

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

FunChIP: A Functional Data Analysis approach to cluster ChIP-Seq peaks according to their shapes

L. Sangalli, P. Secchi, S. Vantini, 2016 .

Statistical Analysis of Exceptional Events: The Italian Regulatory Experience

E. Fumagalli, P. Secchi, L. Lo Schiavo, 2009, IEEE Transactions on Power Delivery.

Statistical analyses of exceptional events: the Italian experience

Anna Maria Paganoni, Piercesare Secchi, Luca Lo Schiavo, 2008 .

SUPP MATERIAL: Profile Monitoring of Probability Density Functions via Simplicial Functional PCA With Application to Image Data

Alessandra Menafoglio, Marco Grasso, Piercesare Secchi, 2018 .

Big data: the next challenge for statistics

Simone Vantini, Francesca Ieva, Piercesare Secchi, 2015 .

Treelet Decomposition of Mobile Phone Data for Deriving City Usage and Mobility Pattern in the Milan Urban Region

Simone Vantini, Piercesare Secchi, Valeria Vitelli, 2015 .

Peak shape clustering reveals biological insights

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

Measuring Downsize Reputational Risk in the Oil & Gas Industry

Simone Vantini, Piercesare Secchi, Marika Arena, 2015 .

Kriging prediction for manifold-valued random fields

Alessandra Menafoglio, Piercesare Secchi, Davide Pigoli, 2016, J. Multivar. Anal..

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 Lesions1

R. Longhi, P. Secchi, S. Vantini, 2007, The Journal of Immunology.

Statistical analysis of complex and spatially dependent data: A review of Object Oriented Spatial Statistics

Alessandra Menafoglio, Piercesare Secchi, P. Secchi, 2017, Eur. J. Oper. Res..

Quantifying uncertainties in the estimation of safety parameters by using bootstrapped artificial neural networks

Enrico Zio, Piercesare Secchi, Francesco Di Maio, 2008 .

Efficient estimation of 3-dimensional curves and their derivatives by free knot regression splines, applied to the analysis of inner carotid artery centerlines

A. Veneziani, P. Secchi, A. Veneziani, 2008 .

Efficient estimation of 3-dimensional centerlines of inner carotid arteries and their curvature functions by free knot regression splines

A. Veneziani, P. Secchi, A. Veneziani, 2007 .

Permutation tests for the equality of covariance operators of functional data with applications to evolutionary biology

Piercesare Secchi, Alessandra Cabassi, Davide Pigoli, 2017, 1701.05870.

Distances and inference for covariance operators

Piercesare Secchi, John A. D. Aston, Ian L. Dryden, 2014 .

Mining Administrative Health Databases for Epidemiological Purposes: A Case Study on Acute Myocardial Infarctions Diagnoses

Francesca Ieva, Anna Maria Paganoni, Piercesare Secchi, 2013 .

Data mining the Lombardia Public Health Database: a pilot case study on hospital discharge data for Acute Myocardial Infarctions

F. Ieva, P. Secchi, A. Paganoni, 2010 .

Exploitation, integration and statistical analysis of the Public Health Database and STEMI Archive in the Lombardia region

Francesca Ieva, Anna Maria Paganoni, Piercesare Secchi, 2010 .

Covariance‐based low‐dimensional registration for function‐on‐function regression

F. Chiaromonte, P. Secchi, Tobia Boschi, 2021, Stat.

A randomly reinforced urn

Anna Maria Paganoni, Piercesare Secchi, Pietro Muliere, 2006 .

Two-person red-and-black stochastic games

Piercesare Secchi, P. Secchi, 1997, Journal of Applied Probability.

Statistical Modeling and Monitoring of Geometrical Deviations in Complex Shapes With Application to Additive Manufacturing

B. Colosimo, P. Secchi, M. Grasso, 2021, Technometrics.

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

Luca Antiga, Simone Vantini, Piercesare Secchi, 2012 .

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

L. Antiga, A. Veneziani, T. Passerini, 2011, Cardiovascular Engineering and Technology.

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

Simone Vantini, Piercesare Secchi, Valeria Vitelli, 2012 .

K-mean Alignment for Curve Clustering

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

Social and material vulnerability in the face of seismic hazard: An analysis of the Italian case

G. Azzone, P. Secchi, A. Menafoglio, 2021, Journal of the Royal Statistical Society: Series A (Statistics in Society).

On the role of statistics in the era of big data: A call for a debate

Piercesare Secchi, P. Secchi, 2018 .

Analysis of spatio-temporal mobile phone data: a case study in the metropolitan area of Milan

Simone Vantini, Piercesare Secchi, Valeria Vitelli, 2015, Statistical Methods & Applications.

Hierarchical independent component analysis: A multi-resolution non-orthogonal data-driven basis

Simone Vantini, Piercesare Secchi, Paolo Zanini, 2016, Comput. Stat. Data Anal..

Stationary Strategies for Recursive Games

Piercesare Secchi, P. Secchi, 1997, Math. Oper. Res..

Asymptotically Optimal Response‐Adaptive Designs for Allocating the Best Treatment: An Overview

Piercesare Secchi, Nancy Flournoy, Caterina May, 2012 .

An Object Oriented Approach to Multimodal Imaging Data in Neuroscience

Federico Ferraccioli, Piercesare Secchi, Marco Stefanucci, 2018 .

Analysis of AneuRisk65 data: $k$-mean alignment

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

AneuRisk65: A dataset of three-dimensional cerebral vascular geometries

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

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

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

Bridge closure in the road network of Lombardy: a spatio-temporal analysis of the socio-economic impacts

G. Azzone, P. Secchi, S. Vantini, 2022, Statistical Methods & Applications.

Bridge closure in the road network of Lombardy: a spatio-temporal analysis of the socio-economic impacts

G. Azzone, P. Secchi, S. Vantini, 2022, Statistical Methods & Applications.

Bayesian nonparametric predictive inference and bootstrap techniques

Piercesare Secchi, Pietro Muliere, P. Muliere, 1996 .

A Functional Equation Whose Unknown is P ( [ 0 , 1 ] )

P. Secchi, G. Aletti, C. May, 2012 .

A response-adaptive design targeting the best treatment for clinical trials with continuous responses

P. Milano, P. Secchi, A. Paganoni, 2007 .

On the distribution of the limit proportion for a two-color, randomly reinforced urn with equal reinforcement distributions

Giacomo Aletti, Piercesare Secchi, Caterina May, 2007, Advances in Applied Probability.

A numerical study for comparing two response-adaptive designs for continuous treatment effects

Anna Maria Paganoni, Piercesare Secchi, P. Secchi, 2007, Stat. Methods Appl..

A Class-Kriging Predictor for Functional Compositions with Application to Particle-Size Curves in Heterogeneous Aquifers

Alberto Guadagnini, Alessandra Menafoglio, Piercesare Secchi, 2016, Mathematical Geosciences.

Association rule mining to identify transcription factor interactions in genomic regions

Marco Masseroli, Piercesare Secchi, Gaia Ceddia, 2019, Bioinform..

A Universal Kriging predictor for spatially dependent functional data of a Hilbert Space

Alessandra Menafoglio, Piercesare Secchi, Matilde Dalla Rosa, 2013 .

Mixed Finite Elements for Spatial Regression with PDE Penalization

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

Discussion of “A review of data science in business and industry and a future view,” by Grazia Vicario and Shirley Coleman

P. Secchi, 2020 .

Estimation of the mean for spatially dependent data belonging to a Riemannian manifold

Piercesare Secchi, Davide Pigoli, P. Secchi, 2012 .

A look at the spatio-temporal mortality patterns in Italy during the COVID-19 pandemic through the lens of mortality densities

L. Sangalli, P. Secchi, A. Menafoglio, 2021, Spatial Statistics.

Functional Data Representation with Merge Trees

M. Pegoraro, P. Secchi, 2021, 2108.13147.

Analysis of proteomics data: Block k-mean alignment

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

Using Curve-Registration Information for Profile Monitoring

Alessandra Menafoglio, Piercesare Secchi, Bianca Maria Colosimo, 2016 .

Bagging Voronoi classifiers for clustering spatial functional data

Simone Vantini, Piercesare Secchi, Valeria Vitelli, 2013, Int. J. Appl. Earth Obs. Geoinformation.

Distances and inference for covariance functions

Piercesare Secchi, John A. D. Aston, Ian L. Dryden, 2012 .

Contributions to Statistics

P. Secchi, A. Paganoni, 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

Enrico Zio, Simone Vantini, Piercesare Secchi, 2011, IEEE Transactions on Reliability.

A Nonparametric Algorithm for Spatially Dependent Functional Data: Bagging Voronoi for Clustering, Dimensional Reduction, and Regression

P. Secchi, S. Vantini, V. Vitelli, 2021, Geostatistical Functional Data Analysis.

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

Tiziano Faravelli, Piercesare Secchi, Alessio Frassoldati, 2016 .

On the existence of good stationary strategies for nonleavable stochastic games

Piercesare Secchi, P. Secchi, 1998, Int. J. Game Theory.

Rejoinder: Analysis of AneuRisk65 data

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

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.

Analysis of Mobile Phone Data for Deriving City Mobility Patterns

Simone Vantini, Paolo Zanini, Piercesare Secchi, 2017 .

Profile Monitoring of Probability Density Functions via Simplicial Functional PCA With Application to Image Data

B. Colosimo, P. Secchi, M. Grasso, 2018, Technometrics.

Stochastic simulation of soil particle‐size curves in heterogeneous aquifer systems through a Bayes space approach

Alberto Guadagnini, Alessandra Menafoglio, Piercesare Secchi, 2016 .

Bagging Voronoi classifiers for clustering spatial functional data

P. Secchi, S. Vantini, Valeria Vitelli, 2013, International Journal of Applied Earth Observation and Geoinformation.

Article in Press G Model International Journal of Applied Earth Observation and Geoinformation Bagging Voronoi Classifiers for Clustering Spatial Functional Data

P. Secchi, S. Vantini, V. Vitelli, 2022 .

Spatial Clustering of Functional Data

Simone Vantini, Piercesare Secchi, Valeria Vitelli, 2011 .

Health Care Systems and Management

P. Trucco, R. Casagrandi, F. Rizzo, 2010 .

Urn schemes and reinforced random walks

Piercesare Secchi, Pietro Muliere, S. Walker, 2000 .