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Perturbation bounds for Monte Carlo within Metropolis via restricted approximations

The Monte Carlo within Metropolis (MCwM) algorithm, interpreted as a perturbed Metropolis–Hastings (MH) algorithm, provides an approach for approximate sampling when the target distribution is intractable. Assuming the unperturbed Markov chain is geometrically ergodic, we show explicit estimates of...

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Publicat a:Stoch Process Their Appl
Autors principals: Medina-Aguayo, Felipe, Rudolf, Daniel, Schweizer, Nikolaus
Format: Artigo
Idioma:Inglês
Publicat: Elsevier 2020
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Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC7074005/
https://ncbi.nlm.nih.gov/pubmed/32255890
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.spa.2019.06.015
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