$U$-statistics on bipartite exchangeable networks

Fuente: arXiv
Gespeichert in:
Bibliographische Detailangaben
1. Verfasser: Minh, Tâm Le
Format: Preprint
Veröffentlicht: 2021
Schlagworte:
Online-Zugang:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
_version_ 1866909063508393984
author Minh, Tâm Le
author_facet Minh, Tâm Le
contents Bipartite networks with exchangeable nodes can be represented by row-column exchangeable matrices. A quadruplet is a submatrix of size $2 \times 2$. A quadruplet $U$-statistic is the average of a function on a quadruplet over all the quadruplets of a matrix. We prove several asymptotic results for quadruplet $U$-statistics on row-column exchangeable matrices, including a weak convergence result in the general case and a central limit theorem when the matrix is also dissociated. These results are applied to statistical inference in network analysis. We suggest a method to perform parameter estimation, network comparison and motifs count for a particular family of row-column exchangeable network models: the bipartite expected degree distribution (BEDD) models. These applications are illustrated by simulations.
format Preprint
id arxiv_https___arxiv_org_abs_2103_12597
institution arXiv
publishDate 2021
record_format arxiv
spellingShingle $U$-statistics on bipartite exchangeable networks
Minh, Tâm Le
Probability
Statistics Theory
Bipartite networks with exchangeable nodes can be represented by row-column exchangeable matrices. A quadruplet is a submatrix of size $2 \times 2$. A quadruplet $U$-statistic is the average of a function on a quadruplet over all the quadruplets of a matrix. We prove several asymptotic results for quadruplet $U$-statistics on row-column exchangeable matrices, including a weak convergence result in the general case and a central limit theorem when the matrix is also dissociated. These results are applied to statistical inference in network analysis. We suggest a method to perform parameter estimation, network comparison and motifs count for a particular family of row-column exchangeable network models: the bipartite expected degree distribution (BEDD) models. These applications are illustrated by simulations.
title $U$-statistics on bipartite exchangeable networks
topic Probability
Statistics Theory
url https://arxiv.org/abs/2103.12597