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A simple introduction to Markov Chain Monte–Carlo sampling
Markov Chain Monte–Carlo (MCMC) is an increasingly popular method for obtaining information about distributions, especially for estimating posterior distributions in Bayesian inference. This article provides a very basic introduction to MCMC sampling. It describes what MCMC is, and what it can be us...
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| Publicado no: | Psychon Bull Rev |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer US
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5862921/ https://ncbi.nlm.nih.gov/pubmed/26968853 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3758/s13423-016-1015-8 |
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