摘要
讨论了四种多项分布尾概率与四种Dirichlet分布尾概率的相互表示,并将结果应用于Majorization理论,得到了多项分布和Dirichlet分布对应的一些性质.同时,结果可应用于多项分布最大、最小参数的贝叶斯推断,在佛罗里达州沃尔顿县白人和黑人的职业状态调查结果中,求出最大、最小参数的后验分布函数以及95%贝叶斯区间估计,模拟结果表明提供的方法具有较好的表现.
In this paper,we discuss the mutual representation between the tail probability of four kinds of multinomial distributions and the tail probability of four Dirichlet distributions,and the results are applied to the majorization theory,a number of properties corresponding to the Multinomial distribution and Dirichlet distribution are obtained.At the same time,the results are applied to the Bayesian inference with the largest and smallest parameters.In the investigation result of the occupational status of white and black people in Walton County,Florida,we calculate the posterior distribution function of the maximum and minimum parameters as well as 95%Bayesian interval estimation,the simulation results show that this method performs well.
作者
牟唯嫣
崔栋利
熊世峰
MU Wei-yan CUI Dong-li XIONG Shi-feng(School of Science, Beijing University of Civil Engineering and Architecture, Beijing 100044, China Academy of Mathematics and Systems Science, Chinese Academy of Science, Beijing 100190, China)
出处
《数学的实践与认识》
北大核心
2017年第2期235-242,共8页
Mathematics in Practice and Theory
基金
国家自然科学基金(11271355
11601027
11671386)
北京市教委科技计划面上项目(KM201410016003)
北京建筑大学科研基金项目(21082716014
00331616031)