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题名

A General Inferential Framework for Singly-Truncated Bivariate Normal Models with Applications in Economics

作者
通讯作者Zhang,Chi
发表日期
2024
DOI
发表期刊
ISSN
0927-7099
EISSN
1572-9974
摘要
To analyze the singly-truncated bivariate economic data, we establish a class of singly-truncated bivariate normal distributions via stochastically representing the original bivariate normal random vector as a mixture of the singly-truncated part and its complementary components. Aided with the stochastic representaion, we creatively construct two novel unified and simple algorithms—the expectation–maximization algorithm as well as the minorization–maximization algorithm—to calculate the maximum likelihood estimates of the means and covariance matrix for the model of interest. In addition, we also develop a DA algorithm for posterior sampling in Bayesian analysis. Both simulation results and two real data applications in economics, collaborated by comparisons with existing methods, demonstrate the effectiveness and stability of proposed methodologies.
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英语
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Scopus记录号
2-s2.0-85182712462
来源库
Scopus
引用统计
成果类型期刊论文
条目标识符http://sustech.caswiz.com/handle/2SGJ60CL/701850
专题理学院_统计与数据科学系
作者单位
1.School of Statistics and Mathematics,Zhongnan University of Economics and Law,Wuhan City,Hubei Province,China
2.Department of Statistics and Data Science,Southern University of Science and Technology,Shenzhen City,Guangdong Province,China
3.College of Economics,Shenzhen University,Shenzhen City,Guangdong Province,China
推荐引用方式
GB/T 7714
Liu,Yin,Tian,Guo Liang,Zhang,Chi,et al. A General Inferential Framework for Singly-Truncated Bivariate Normal Models with Applications in Economics[J]. Computational Economics,2024.
APA
Liu,Yin,Tian,Guo Liang,Zhang,Chi,&Qin,Hong.(2024).A General Inferential Framework for Singly-Truncated Bivariate Normal Models with Applications in Economics.Computational Economics.
MLA
Liu,Yin,et al."A General Inferential Framework for Singly-Truncated Bivariate Normal Models with Applications in Economics".Computational Economics (2024).
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