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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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| 發表在: | Stoch Process Their Appl |
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| Main Authors: | , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
Elsevier
2020
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| 主題: | |
| 在線閱讀: | 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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