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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...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Egile Nagusiak: Cole, Stephen R., Chu, Haitao, Greenland, Sander, Hamra, Ghassan, Richardson, David B.
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Oxford University Press 2012
Gaiak:
Sarrera elektronikoa: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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