Perfect Simulation for Image Restoration
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Publication:5421586
DOI10.1080/15326340701471117zbMath1124.68110OpenAlexW2045918818WikidataQ113093460 ScholiaQ113093460MaRDI QIDQ5421586
Publication date: 24 October 2007
Published in: Stochastic Models (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/15326340701471117
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Cites Work
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- Comparison theorems for reversible Markov chains
- Catalytic perfect simulation
- Propp–Wilson Algorithms and Finitary Codings for High Noise Markov Random Fields
- Polynomial-Time Approximation Algorithms for the Ising Model
- Convergence in the Wasserstein Metric for Markov Chain Monte Carlo Algorithms with Applications to Image Restoration
- Sampling-Based Approaches to Calculating Marginal Densities
- Some Inequalities for Reversible Markov Chains
- Exact Sampling from a Continuous State Space
- Fast convergence of the Glauber dynamics for sampling independent sets
- Exact sampling with coupled Markov chains and applications to statistical mechanics
- How to couple from the past using a read-once source of randomness
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