Exponential probability inequality for m-END random variables and its applications

被引:0
作者
Wang, Xuejun [1 ]
Wu, Yi [1 ]
Hu, Shuhe [1 ]
机构
[1] Anhui Univ, Sch Math Sci, Hefei 230601, Peoples R China
基金
中国国家自然科学基金;
关键词
m-extended negatively dependent random variables; Complete convergence; Kolmogorov exponential inequality; Complete consistency; DEPENDENT RANDOM-VARIABLES; NONPARAMETRIC MULTIPLE-REGRESSION; PRECISE LARGE DEVIATIONS; FIXED-DESIGN REGRESSION; COMPLETE CONVERGENCE; ARRAYS; SUMS;
D O I
10.1007/s00184-015-0547-7
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
The concept of m-extended negatively dependent (m-END, in short) random variables is introduced and the Kolmogorov exponential inequality for m-END random variables is established. As applications of the Kolmogorov exponential inequality, we further investigate the complete convergence for arrays of rowwise m-END random variables and the complete consistency for the estimator of nonparametric regression models based on m-END errors. Our results generalize and improve some known ones for independent random variables and dependent random variables.
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页码:127 / 147
页数:21
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