Non-parametric inference for network-valued data

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

Non-parametric inference for network-valued data

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English
Title of host publication	Cladag 2017 Meeting of the Classification and Data Analysis Group Book of Short Papers
Pages	1-4
Number of pages	4
Publication status	Published - 2017
Event	Cladag 2017 Meeting of the Classification and Data Analysis - Milano Duration: 13 Sept 2017 → 15 Sept 2017

Conference

Conference	Cladag 2017 Meeting of the Classification and Data Analysis
City	Milano
Period	13/9/17 → 15/9/17

Keywords

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

Cite this

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title = "Non-parametric inference for network-valued data",

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.",

keywords = "network-valued data, null hypothesis testing, group comparisons, permutation test, network-valued data, null hypothesis testing, group comparisons, permutation test",

author = "I. Lovato and Alessia Pini and A. Stamm and S. Vantini",

year = "2017",

language = "English",

isbn = "978-88-99459-71-0",

pages = "1--4",

booktitle = "Cladag 2017 Meeting of the Classification and Data Analysis Group Book of Short Papers",

note = "Cladag 2017 Meeting of the Classification and Data Analysis ; Conference date: 13-09-2017 Through 15-09-2017",

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TY - GEN

T1 - Non-parametric inference for network-valued data

AU - Lovato, I.

AU - Pini, Alessia

AU - Stamm, A.

AU - Vantini, S.

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

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

UR - http://hdl.handle.net/10807/119854

M3 - Conference contribution

SN - 978-88-99459-71-0

SP - 1

EP - 4

BT - Cladag 2017 Meeting of the Classification and Data Analysis Group Book of Short Papers

T2 - Cladag 2017 Meeting of the Classification and Data Analysis

Y2 - 13 September 2017 through 15 September 2017

ER -

Non-parametric inference for network-valued data

Abstract

Conference

Keywords

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