Stein’s method for stationary distributions of Markov chains and application to Ising models
We develop a new technique, based on Stein's method, for comparing two stationary distributions of irreducible Markov chains whose update rules are close in a certain sense. We apply this technique to compare Ising models on d-regular expander graphs to the Curie-Weiss model (complete graph) in...
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| Format: | Artikel |
| Sprache: | English |
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Institute of Mathematical Statistics
2021
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| Online Zugang: | https://hdl.handle.net/1721.1/129949 |