Perfect simulation for the infinite random cluster model, Ising and Potts models at low or high temperature
DOI10.1007/s00440-014-0608-2zbMath1346.60137arXiv1301.0113OpenAlexW2082073249MaRDI QIDQ2634897
Emilio De Santis, Andrea Maffei
Publication date: 10 February 2016
Published in: Probability Theory and Related Fields (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1301.0113
Probabilistic models, generic numerical methods in probability and statistics (65C20) Discrete-time Markov processes on general state spaces (60J05) Interacting random processes; statistical mechanics type models; percolation theory (60K35) Percolation (82B43) Lattice systems (Ising, dimer, Potts, etc.) and systems on graphs arising in equilibrium statistical mechanics (82B20)
Related Items (4)
Cites Work
- Unnamed Item
- Developments in perfect simulation of Gibbs measures through a new result for the extinction of Galton-Watson-like processes
- Exact simulation for discrete time spin systems and unilateral fields
- Perfect simulation of infinite range Gibbs measures and coupling with their finite range approximations
- Processes with long memory: Regenerative construction and perfect simulation
- The stochastic random-cluster process and the uniqueness of random-cluster measures
- Perfect simulation of autoregressive models with infinite memory
- Propp–Wilson Algorithms and Finitary Codings for High Noise Markov Random Fields
- Backward Coalescence Times for Perfect Simulation of Chains with Infinite Memory
- Chains with unbounded variable length memory: perfect simulation and a visible regeneration scheme
- Percolation
- Exact sampling with coupled Markov chains and applications to statistical mechanics
This page was built for publication: Perfect simulation for the infinite random cluster model, Ising and Potts models at low or high temperature