About: Stationary measures and phase transition for a class of Probabilistic Cellular Automata

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Attributs	Valeurs
type	work Article
Is Part Of	New directions in Time Series Analysis (Guest Editor: Philippe Soulier)
Subject	Random fields Markov chains (discrete-time Markov processes on discrete state spaces) Interacting random processes; statistical mechanics type models; percolation theory Phase transitions (general) Dynamic lattice systems (kinetic Ising, etc.) and systems on graphs Probabilistic Cellular Automata stationary measure Gibbs measure.
Title	Stationary measures and phase transition for a class of Probabilistic Cellular Automata
Date	2002-01-01(xsd:dateTime)
has manifestation of work	http://hub.abes.fr/edp/periodical/ps/2002/volume_6/issue_2002/psVol6-4/m/web http://hub.abes.fr/edp/periodical/ps/2002/volume_6/issue_2002/psVol6-4/m/print
related by	http://hub.abes.fr/edp/periodical/ps/2002/volume_6/issue_2002/psVol6-4/authorship/3 http://hub.abes.fr/edp/periodical/ps/2002/volume_6/issue_2002/psVol6-4/authorship/1 http://hub.abes.fr/edp/periodical/ps/2002/volume_6/issue_2002/psVol6-4/authorship/2
Author	Louis, Pierre-Yves Rœlly, Sylvie Pra, Paolo Dai
Abstract	We discuss various properties of Probabilistic Cellular Automata, such as the structure of the set of stationary measures and multiplicity of stationary measures (or phase transition) for reversible models.
article type	research-article
publisher identifier	psVol6-4
Date Copyrighted	2002-01-01(xsd:dateTime)
Rights	© EDP Sciences, SMAI, 2002
Rights Holder	EDP Sciences, SMAI
is part of this journal	ESAIM: Probability and Statistics
is primary topic of	http://hub.abes.fr/edp/periodical/ps/2002/volume_6/issue_2002/psVol6-4/w/record

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