Graphical Construction of Spatial Gibbs Random Graphs

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Cerqueira, Andressa, Garcia, Nancy L.
Format: Preprint
Published: 2019
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866929389198901248
author Cerqueira, Andressa
Garcia, Nancy L.
author_facet Cerqueira, Andressa
Garcia, Nancy L.
contents We consider a Random Graph Model on $\mathbb{Z}^{d}$ that incorporates the interplay between the statistics of the graph and the underlying space where the vertices are located. Based on a graphical construction of the model as the invariant measure of a birth and death process, we prove the existence and uniqueness of a measure defined on graphs with vertices in $\mathbb{Z}^{d}$ which coincides with the limit along the measures over graphs with finite vertex set. As a consequence, theoretical properties such as exponential mixing of the infinite volume measure and central limit theorem for averages of a real-valued function of the graph are obtained. Moreover, a perfect simulation algorithm based on the clan of ancestors is described in order to sample a finite window of the equilibrium measure defined on $\mathbb{Z}^{d}$.
format Preprint
id arxiv_https___arxiv_org_abs_1908_08880
institution arXiv
publishDate 2019
record_format arxiv
spellingShingle Graphical Construction of Spatial Gibbs Random Graphs
Cerqueira, Andressa
Garcia, Nancy L.
Statistics Theory
We consider a Random Graph Model on $\mathbb{Z}^{d}$ that incorporates the interplay between the statistics of the graph and the underlying space where the vertices are located. Based on a graphical construction of the model as the invariant measure of a birth and death process, we prove the existence and uniqueness of a measure defined on graphs with vertices in $\mathbb{Z}^{d}$ which coincides with the limit along the measures over graphs with finite vertex set. As a consequence, theoretical properties such as exponential mixing of the infinite volume measure and central limit theorem for averages of a real-valued function of the graph are obtained. Moreover, a perfect simulation algorithm based on the clan of ancestors is described in order to sample a finite window of the equilibrium measure defined on $\mathbb{Z}^{d}$.
title Graphical Construction of Spatial Gibbs Random Graphs
topic Statistics Theory
url https://arxiv.org/abs/1908.08880