文件名称:mcmc_gibbs_intro
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对马尔科夫链蒙特卡洛模拟和吉布斯采样的一个介绍文章，对了解这些方法非常有用！-We focus here on Markov
Chain Monte Carlo (MCMC) methods, which attempt to simulate direct draws
from some complex distribution of interest. MCMC approaches are so-named because one uses the previous sample values to randomly generate the next sample
value, generating a Markov chain (as the transition probabilities between sample values are only a function of the most recent sample value).
Chain Monte Carlo (MCMC) methods, which attempt to simulate direct draws
from some complex distribution of interest. MCMC approaches are so-named because one uses the previous sample values to randomly generate the next sample
value, generating a Markov chain (as the transition probabilities between sample values are only a function of the most recent sample value).
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