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零膨胀威布尔分布的客观贝叶斯分析
The Objective Bayesian Analysis of Zero-Inflated Weibull Model
【摘要】 为了及时发现金融保险账户被盗的风险,该文构建了零膨胀威布尔分布模型,通过客观贝叶斯分析推导出参数的Jeffreys先验和reference先验,并设计出相应的抽样机制.设置不同的样本容量和参数真值,对参数估计进行数值仿真,实现了较好的估计效果.
【Abstract】 In order to timely detect the risk of theft of financial and insurance accounts, the zero-inflated Weibull distribution model is proposed.Through objective Bayesian analysis, the Jeffreys and reference priors of the parameters are derived in detail, and corresponding sampling mechanisms are designed.By setting different sample sizes and parameter truth values, numerical simulations are conducted on parameter estimation, and good estimation results are achieved.
【关键词】 零膨胀威布尔分布;
客观贝叶斯分析;
reference先验;
【Key words】 zero-inflated Weibull model; objective Bayesian analysis; reference prior;
【Key words】 zero-inflated Weibull model; objective Bayesian analysis; reference prior;
【基金】 国家自然科学基金(12301320)资助项目
- 【文献出处】 江西师范大学学报(自然科学版) ,Journal of Jiangxi Normal University(Natural Science Edition) , 编辑部邮箱 ,2024年03期
- 【分类号】O212.8
- 【下载频次】10