Bayesian Posterior Distributions Without Markov Chains
نویسندگان
چکیده
منابع مشابه
Practice of Epidemiology Bayesian Posterior Distributions Without Markov Chains
Bayesian posterior parameter distributions are often simulated using Markov chain Monte Carlo (MCMC)methods. However, MCMCmethods are not always necessary and do not help the uninitiated understand Bayesian inference. As a bridge to understanding Bayesian inference, the authors illustrate a transparent rejection sampling method. In example 1, they illustrate rejection sampling using 36 cases an...
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ژورنال
عنوان ژورنال: American Journal of Epidemiology
سال: 2012
ISSN: 0002-9262,1476-6256
DOI: 10.1093/aje/kwr433