标题： 贝叶斯统计中的计算方法 显示英文标题

标题： Computational Methods in Bayesian Statistics

摘要： 本文专注于利用两种不同的贝叶斯方法来处理数据分析中出现的各种玩具问题。 特别是我们实现了变分贝叶斯和嵌套抽样方法，以解决多项式选择和高斯混合模型的问题，并根据处理速度和准确性比较这些算法。 在此处处理的问题中，变分贝叶斯算法更快，尽管两者结果相似。 显示英文摘要

摘要： This paper focuses on utilizing two different Bayesian methods to deal with a variety of toy problems which occur in data analysis. In particular we implement the Variational Bayesian and Nested Sampling methods to tackle the problems of polynomial selection and Gaussian Mixture Models, comparing the algorithms in terms of processing speed and accuracy. In the problems tackled here it is the Variational Bayesian algorithms which are the faster though both results give similar results.