Non-parametric inference for network-valued data

Alessia Pini, I. Lovato, A. Stamm, S. Vantini

Risultato della ricerca: Contributo in libroContributo a convegno

Abstract

The statistical analysis of complex objects is the subject of study of Object Oriented Data Analysis. The investigation of this area involves the formulation of new statistical tools as generalization of the classical ones. In this talk we consider network-valued data: the data points of the population under scrutiny are networks. We propose a statistical framework to compare two samples of networks within a permutational approach. The method is tested via simulations, and an application to real data concerning the use of the bike sharing service in Milan is presented.
Lingua originaleEnglish
Titolo della pubblicazione ospiteCladag 2017 Meeting of the Classification and Data Analysis Group Book of Short Papers
Pagine1-4
Numero di pagine4
Stato di pubblicazionePubblicato - 2017
EventoCladag 2017 Meeting of the Classification and Data Analysis - Milano
Durata: 13 set 201715 set 2017

Convegno

ConvegnoCladag 2017 Meeting of the Classification and Data Analysis
CittàMilano
Periodo13/9/1715/9/17

Keywords

  • network-valued data, null hypothesis testing, group comparisons, permutation test

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