浅议马尔可夫链蒙特卡罗在实践中的应用
摘要
本文概括地介绍了马尔可夫链蒙特卡罗(Markov chain Monte Carlo——MCMC),一种随机模拟贝叶斯推断的方法。主要的抽样方法包括吉布斯采样(Gibbs Sampling)和Metropolis-Hastings算法。本文也对MCMC主题和应用的拓展进行了讨论。
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