吉布斯抽样在数据缺失中的应用及其R实现

Application of Gibbs Sampling in Data Missing and Execution in R

摘要: 数据缺失是统计研究中经常遇到的问题，文章在总结常见缺失数据的处理方法的基础上，提出了用Gibbs抽样方法来解决数据缺失问题，并通过R语言来实现这一过程，从而为数据缺失提供一种新的解决思路。实验结果表明，Gibbs抽样是一种效果比较理想的处理缺失数据的方法。

Abstract: Data missing is a common problem in statistical research. Based on summarizing the common so-lutions, this paper proposes to solve the problem by Gibbs sampling, and achieve this process through the R language, so as to provide a new method. The experimental results show that Gibbs sampling is an ideal method to deal with missing data.