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Bayesian Posterior Distributions Without Markov Chains
Bayesian posterior parameter distributions are often simulated using Markov chain Monte Carlo (MCMC) methods. However, MCMC methods are not always necessary and do not help the uninitiated understand Bayesian inference. As a bridge to understanding Bayesian inference, the authors illustrate a transp...
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| Autori principali: | , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Oxford University Press
2012
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3282880/ https://ncbi.nlm.nih.gov/pubmed/22306565 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/aje/kwr433 |
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