Piercesare Secchi

发表

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

Alessandra Menafoglio, Marco Grasso, Piercesare Secchi, 2018 .

K-mean Alignment for Curve Clustering

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

Stationary Strategies for Recursive Games

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

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.

Object oriented spatial statistics for georeferenced tensor data

Alessandra Menafoglio, Piercesare Secchi, Davide Pigoli, 2018 .

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

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

Stay-in-a-set games

Piercesare Secchi, William D. Sudderth, 2002, Int. J. Game Theory.

Optimized Fuzzy C-Means Clustering and Functional Principal Components for Post-Processing Dynamic Scenarios in the Reliability Analysis of a Nuclear System

Enrico Zio, Simone Vantini, Piercesare Secchi, 2009 .

Bagging Voronoi classifiers for clustering spatial functional data

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

A Bayesian hidden Markov model for identifying exceptional events in electricity distribution

Piercesare Secchi, Tobias Rydén, N. Accoto, 2008 .

DOCTORAL PROGRAM IN MATHEMATICAL MODELS AND METHODS IN ENGINEERING

Enrico Zio, Francesco Maffioli, Simona Perotto, 2012 .

Spatial Clustering of Functional Data

Simone Vantini, Piercesare Secchi, Valeria Vitelli, 2011 .

On the existence of good stationary strategies for nonleavable stochastic games

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

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

Simone Vantini, Piercesare Secchi, Valeria Vitelli, 2012 .

O2S2 for the Geodata Deluge

Alessandra Menafoglio, Piercesare Secchi, Davide Pigoli, 2020 .

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.

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

Piercesare Secchi, Nancy Flournoy, Caterina May, 2012 .

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

Simone Vantini, Piercesare Secchi, Alessandro Veneziani, 2008 .

Random domain decompositions for object-oriented Kriging over complex domains

Alessandra Menafoglio, Piercesare Secchi, Giorgia Gaetani, 2018, Stochastic Environmental Research and Risk Assessment.

Functional data analysis and classification for profile monitoring and fault diagnosis in waterjet machining processes

Alessandra Menafoglio, Piercesare Secchi, Bianca Maria Colosimo, 2013 .

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

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

Kriging prediction for manifold-valued random fields

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

Big data: the next challenge for statistics

Simone Vantini, Francesca Ieva, Piercesare Secchi, 2015 .

N-Person stochastic games with upper semi-continuous payoffs

Piercesare Secchi, William D. Sudderth, 2002, Int. J. Game Theory.

Complex Data Modeling and Computationally Intensive Statistical Methods

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

Peak shape clustering reveals biological insights

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

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

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

Dynamic Fault Scenarios For Training A Fuzzy C-Means Clustering Fault Classifier

Enrico Zio, Simone Vantini, Piercesare Secchi, 2009 .

An Object Oriented Approach to Multimodal Imaging Data in Neuroscience

Federico Ferraccioli, Piercesare Secchi, Marco Stefanucci, 2018 .

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..

Statistical analyses of exceptional events: the Italian experience

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

Rejoinder to the discussion of “Analysis of Spatio-Temporal Mobile Phone Data: a Case Study in the Metropolitan Area of Milan”

Simone Vantini, Piercesare Secchi, Valeria Vitelli, 2015, Stat. Methods Appl..

Mixed Finite Elements for Spatial Regression with PDE Penalization

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

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.

Using Curve-Registration Information for Profile Monitoring

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

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

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

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

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

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.

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 .

Bayesian Hidden Markov Models for Performance-Based Regulation of Continuity of Electricity Supply

Piercesare Secchi, Nadia Accoto, Tobias Rydén, 2010, IEEE Transactions on Power Delivery.

Object Oriented Data Analysis: A few methodological challenges.

Simone Vantini, Piercesare Secchi, Laura M Sangalli, 2014, Biometrical journal. Biometrische Zeitschrift.

Association rule mining to identify transcription factor interactions in genomic regions

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

Statistical modeling and monitoring of geometrical deviations in complex shapes with application to Additive Manufacturing

Alessandra Menafoglio, Piercesare Secchi, Bianca Maria Colosimo, 2021 .

Functional Data Representation with Merge Trees

Piercesare Secchi, Matteo Pegoraro, 2021 .

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

Alessandra Menafoglio, Piercesare Secchi, Giovanni Azzone, 2021, Journal of the Royal Statistical Society: Series A (Statistics in Society).

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

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

A generalization of Hotelling’s theorem for large p small n data

Simone Vantini, Piercesare Secchi, Aymeric Stamm, 2013 .

Bayesian nonparametric predictive inference and bootstrap techniques

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

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.

Interacting reinforced-urn systems

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

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 .

Reinforced random processes in continuous time

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

Measuring Downsize Reputational Risk in the Oil & Gas Industry

Simone Vantini, Piercesare Secchi, Marika Arena, 2015 .

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

Piercesare Secchi, P. Secchi, 2018 .

Weak Convergence of a Dirichlet-Multinomial Process

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

Two-person red-and-black stochastic games

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

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 .

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 .

Large p Small n: Inference for the Mean

Simone Vantini, Piercesare Secchi, Aymeric Stamm, 2010 .

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

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

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 .

Distances and inference for covariance operators

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

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

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

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 .

Analysis of AneuRisk65 data: $k$-mean alignment

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

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

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

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

Simone Vantini, Piercesare Secchi, Valeria Vitelli, 2009 .

A randomly reinforced urn

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

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.

A Case Study in Functional Data Analysis; Investigating the Geometry of the Internal Carotid Artery for Cerebral Aneurysms Classification(⋆)

Simone Vantini, Piercesare Secchi, Laura Maria Sangalli, 2008 .

Discovering Spatiotemporal Patterns of Urban Life from Mobile Data: an Exploration through Hierarchical Independent Component Analysis.

Simone Vantini, Piercesare Secchi, Paolo Zanini, 2013 .

REINFORCED URN PROCESSES FOR MODELING CREDIT DEFAULT DISTRIBUTIONS

Piercesare Secchi, Pietro Muliere, Emanuele Amerio, 2004 .

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 .

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

Luca Antiga, Simone Vantini, Piercesare Secchi, 2012 .

Distances and inference for covariance functions

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

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

Alberto Guadagnini, Alessandra Menafoglio, Piercesare Secchi, 2016 .

O2S2: A new venue for computational geostatistics

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

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

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

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.

Rejoinder: Analysis of AneuRisk65 data

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

Urn schemes and reinforced random walks

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

Advances in complex data modeling and computational methods in statistics

Anna Maria Paganoni, Piercesare Secchi, 2015 .

On a two-color generalized Polya urn

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