arXiv:2208.05239 [math.PR]AbstractReferencesReviewsResources
Poincaré inequalities for Markov chains: a meeting with Cheeger, Lyapunov and Metropolis
Christophe Andrieu, Anthony Lee, Sam Power, Andi Q. Wang
Published 2022-08-10Version 1
We develop a theory of weak Poincar\'e inequalities to characterize convergence rates of ergodic Markov chains. Motivated by the application of Markov chains in the context of algorithms, we develop a relevant set of tools which enable the practical study of convergence rates in the setting of Markov chain Monte Carlo methods, but also well beyond.
Comments: 80 pages
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