Detecting phase transition for Gibbs measures
type: Item
instance of: scholarly article
title: Detecting phase transition for Gibbs measures
zbMATH Open document ID: 0882.60047
author: Francis Comets
published in: The Annals of Applied Probability
publication date: 1998-03-02T00:00:00Z
review text: The author proposes some empirical procedure for detecting phase transitions from a sample of Gibbs-Markov random field. The method is based on large deviation principle.
Mathematics Subject Classification ID: 60G60
Mathematics Subject Classification ID: 60F10
Mathematics Subject Classification ID: 62M30
Mathematics Subject Classification ID: 82B26
zbMATH DE Number: 1051776
zbMATH Keywords: empirical procedure for detecting phase transitions
zbMATH Keywords: Gibbs-Markov random field
zbMATH Keywords: large deviation principle
reviewed by: Nikolai N. Leonenko
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1214/aoap/1034625344
OpenAlex ID: W2064844501
cites work: On consistency of a class of estimators for exponential families of Markov random fields on the lattice
cites work: Erdős-Rényi laws for Gibbs measures
cites work: Q3924996
cites work: Detecting nonergodicity in continuous-time spin systems
cites work: Exact convergence rate in the limit theorems of Erdős-Rényi and Shepp
cites work: Q3134548
cites work: Q4023362
cites work: Large deviations for the empirical field of a Gibbs measure
cites work: Gibbs measures and phase transitions
cites work: Large deviations and maximum entropy principle for interacting random fields on \(\mathbb{Z}^ d\)
cites work: Q4023937
cites work: Q3788859
cites work: Maximum entropy principles for disordered spins
DOI: 10.1214/AOAP/1034625344
description: scientific article; zbMATH DE number 1051776