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A Bootstrap Metropolis–Hastings Algorithm for Bayesian Analysis of Big Data
Markov chain Monte Carlo (MCMC) methods have proven to be a very powerful tool for analyzing data of complex structures. However, their computer-intensive nature, which typically require a large number of iterations and a complete scan of the full dataset for each iteration, precludes their use for...
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| Pubblicato in: | Technometrics |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2016
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5637557/ https://ncbi.nlm.nih.gov/pubmed/29033469 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/00401706.2016.1142905 |
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