Politecnico di Milano
Manifesti degli Studi
 
Menu
Degree programme
Programme Structure
Show/Search Programme
Degree Programme
International context
Customized Schedule
Your customized time schedule has been disabled
Enable
Your customized schedule contains 0/15 courses
Delete schedule
Search
Search a Professor
Professor's activities
Search a Course
Search a Course (system prior D.M. n. 509)
Search Lessons taught in English
Exit

Professor's activitiesCambia LinguaCambia Lingua
Information on didactic, research and institutional assignments on this page are certified by the University; more information, prepared by the professor, are available on the personal web page and in the curriculum vitae indicated on this webpage.
Add this page to bookmarks

Information on professor
ProfessorSecchi Piercesare
QualificationFull professor
Belonging DepartmentDipartimento di Matematica
Scientific-Disciplinary SectorSECS-S/01 - Statistics
Curriculum VitaeDownload CV (81.61Kb - 23/04/2018)
OrcIDhttps://orcid.org/0000-0003-4048-9552

Contacts
Professor's office hours
DepartmentFloorOfficeDayTimetableTelephoneFaxNotes
Matematica----FridayFrom 14:30
To 16:30
02.2399.4592----
E-mailpiercesare.secchi@polimi.it
Professor's personal websitehttps://www.mate.polimi.it/?view=pp&id=85&lg=en

Data source: RE.PUBLIC@POLIMI - Research Publications at Politecnico di Milano

List of publications and reserach products for the year 2019
No product yet registered in the year 2019


List of publications and reserach products for the year 2018 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Journal Articles
Profile Monitoring of Probability Density Functions via Simplicial Functional PCA with application to Image Data (Show >>)
On the role of statistics in the era of big data: A call for a debate (Show >>)
Random domain decompositions for object-oriented Kriging over complex domains (Show >>)
Contributions on scientific books
An Object Oriented Approach to Multimodal Imaging Data in Neuroscience (Show >>)


List of publications and reserach products for the year 2017 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Journal Articles
Statistical analysis of complex and spatially dependent data: A review of Object Oriented Spatial Statistics (Show >>)
Clustering misaligned dependent curves applied to varved lake sediment for climate reconstruction (Show >>)
FunChIP: an R/Bioconductor package for functional classification of ChIP-seq shapes (Show >>)
Permutation tests for the equality of covariance operators of functional data with applications to evolutionary biology (Show >>)
Contributions on scientific books
Analysis of Mobile Phone Data for Deriving City Mobility Patterns (Show >>)


List of publications and reserach products for the year 2016 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Journal Articles
A Class-Kriging predictor for Functional Compositions with Application to Particle-Size Curves in Heterogeneous Aquifers (Show >>)
Kriging prediction for manifold-valued random fields (Show >>)
Hierarchical independent component analysis: A multi-resolution non-orthogonal data-driven basis (Show >>)
Curve matching, a generalized framework for models/experiments comparison: An application to n- heptane combustion kinetic mechanisms (Show >>)
Using Curve-Registration Information for Profile Monitoring (Show >>)
Stochastic simulation of soil particle-size curves in heterogeneous aquifer systems through a Bayes space approach (Show >>)
Conference proceedings
Object Oriented Geostatistical Simulation of Functional Compositions via Dimensionality Reduction in Bayes spaces (Show >>)


List of publications and reserach products for the year 2015 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Journal Articles
Blood flow velocity field estimation via spatial regression with PDE penalization (Show >>)
Analysis of spatio-temporal mobile phone data: a case study in the metropolitan area of Milan (Show >>)
Rejoinder to the discussion of “Analysis of Spatio-Temporal Mobile Phone Data: a Case Study in the Metropolitan Area of Milan” (Show >>)
Big data: the next challenge for statistics (Show >>)
Peak shape clustering reveals biological insights (Show >>)
Contributions on scientific books
Measuring downsize reputational risk in the oil and gas industry (Show >>)
Treelet decomposition of mobile phone data for deriving city usage and mobility pattern in the Milan urban region (Show >>)
24/05/2019 Area Servizi ICT v. 2.12.1 / 2.12.1