Perfect simulation for the infinite random cluster model, Ising and Potts models at low or high temperature
Author:
Publisher
Springer Science and Business Media LLC
Subject
Statistics, Probability and Uncertainty,Statistics and Probability,Analysis
Link
http://link.springer.com/content/pdf/10.1007/s00440-014-0608-2.pdf
Reference13 articles.
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4. De Santis, E., Piccioni, M.: Backward coalescence times for perfect simulation of chains with infinite memory. J. Appl. Probab. 49(2), 319–337 (2012)
5. De Santis, E., Piccioni, M.: Perfect simulation of autoregressive models with infinite memory. J. Stat. Phys. 150(6), 1017–1029 (2013)
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1. Zero-Temperature Stochastic Ising Model on Planar Quasi-Transitive Graphs;Journal of Statistical Physics;2023-10-27
2. Finitary codings for the random-cluster model and other infinite-range monotone models;Electronic Journal of Probability;2022-01-01
3. Stochastic Ising model with flipping sets of spins and fast decreasing temperature;Annales de l'Institut Henri Poincaré, Probabilités et Statistiques;2018-05-01
4. One-Dimensional Infinite Memory Imitation Models with Noise;Journal of Statistical Physics;2015-07-31
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