遵义师范学院学报2024,Vol.26Issue(1) :108-112.

一种基于贝叶斯的广义Pareto分布变点估计

A Bayesian Based Generalized Pareto Distribution Change Point Estimation

王国琴 吴有富 许婷 欧永玲
遵义师范学院学报2024,Vol.26Issue(1) :108-112.

一种基于贝叶斯的广义Pareto分布变点估计

A Bayesian Based Generalized Pareto Distribution Change Point Estimation

王国琴 1吴有富 2许婷 1欧永玲1
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作者信息

  • 1. 贵州民族大学数据科学与信息工程学院,贵州贵阳 550025
  • 2. 贵州交通职业技术学院,贵州贵阳 550025
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摘要

文章研究广义Pareto分布单变点的估计问题,利用贝叶斯方法对广义Pareto分布变点进行估计,模拟结果表明,贝叶斯方法能获得更好的效果.同时将贝叶斯方法与基于KL散度似然比统计量的极大似然法比较,得出贝叶斯方法效果更好.

Abstract

The article studies the estimation problem of the single change point of the generalized Pareto distribution,and uses Bayesian methods to estimate the change point of the generalized Pareto distribution.Simulation results show that Bayesian methods can achieve better results.At the same time,comparing the Bayesian method with the maximum likelihood method based on KL divergence likeli-hood ratio statistic,it is found that the Bayesian method has better performance.

关键词

广义Pareto分布/贝叶斯估计/极大似然估计

Key words

generalized Pareto distribution/Bayesian estimation/maximum likelihood estimation

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出版年

2024
遵义师范学院学报
遵义师范学院

遵义师范学院学报

影响因子:0.165
ISSN:1009-3583
参考文献量11
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