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Searching for efficient Markov chain Monte Carlo proposal kernels
Markov chain Monte Carlo (MCMC) or the Metropolis–Hastings algorithm is a simulation algorithm that has made modern Bayesian statistical inference possible. Nevertheless, the efficiency of different Metropolis–Hastings proposal kernels has rarely been studied except for the Gaussian proposal. Here w...
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| Hauptverfasser: | , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
National Academy of Sciences
2013
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3845170/ https://ncbi.nlm.nih.gov/pubmed/24218600 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1311790110 |
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