Large deviations for Independent Metropolis Hastings and Metropolis-adjusted Langevin algorithm

Fuente: arXiv
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Autori principali: Milinanni, Federica, Nyquist, Pierre
Natura: Preprint
Pubblicazione: 2024
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author Milinanni, Federica
Nyquist, Pierre
author_facet Milinanni, Federica
Nyquist, Pierre
contents In this paper, we prove large deviation principles for the empirical measures associated with the Independent Metropolis Hastings (IMH) sampler and the Metropolis-adjusted Langevin Algorithm (MALA). These are the first large deviation results for empirical measures of Markov chains arising from specific Metropolis-Hastings methods on a continuous state space. Moreover, we show that the existing large deviation framework, that we developed in a previous work (Milinanni and Nyquist, 2024), does not cover the Random Walk Metropolis sampler, even in cases when the underlying Markov chain is geometrically ergodic.
format Preprint
id arxiv_https___arxiv_org_abs_2403_08691
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Large deviations for Independent Metropolis Hastings and Metropolis-adjusted Langevin algorithm
Milinanni, Federica
Nyquist, Pierre
Probability
Statistics Theory
60F10, 65C05, secondary 60G57, 60J05
In this paper, we prove large deviation principles for the empirical measures associated with the Independent Metropolis Hastings (IMH) sampler and the Metropolis-adjusted Langevin Algorithm (MALA). These are the first large deviation results for empirical measures of Markov chains arising from specific Metropolis-Hastings methods on a continuous state space. Moreover, we show that the existing large deviation framework, that we developed in a previous work (Milinanni and Nyquist, 2024), does not cover the Random Walk Metropolis sampler, even in cases when the underlying Markov chain is geometrically ergodic.
title Large deviations for Independent Metropolis Hastings and Metropolis-adjusted Langevin algorithm
topic Probability
Statistics Theory
60F10, 65C05, secondary 60G57, 60J05
url https://arxiv.org/abs/2403.08691