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.
机构:
Univ Liverpool, Dept Math Sci, Liverpool L69 7ZL, Merseyside, EnglandUniv Liverpool, Dept Math Sci, Liverpool L69 7ZL, Merseyside, England
Chen, Yiqing
Chen, Anyue
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Univ Liverpool, Dept Math Sci, Liverpool L69 7ZL, Merseyside, England
Xian Jiaotong Liverpool Univ, Suzhou, Peoples R ChinaUniv Liverpool, Dept Math Sci, Liverpool L69 7ZL, Merseyside, England
Chen, Anyue
Ng, Kai W.
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Univ Hong Kong, Dept Stat & Actuarial Sci, Hong Kong, Hong Kong, Peoples R ChinaUniv Liverpool, Dept Math Sci, Liverpool L69 7ZL, Merseyside, England
机构:
Univ Liverpool, Dept Math Sci, Liverpool L69 7ZL, Merseyside, EnglandUniv Liverpool, Dept Math Sci, Liverpool L69 7ZL, Merseyside, England
Chen, Yiqing
Chen, Anyue
论文数: 0引用数: 0
h-index: 0
机构:
Univ Liverpool, Dept Math Sci, Liverpool L69 7ZL, Merseyside, England
Xian Jiaotong Liverpool Univ, Suzhou, Peoples R ChinaUniv Liverpool, Dept Math Sci, Liverpool L69 7ZL, Merseyside, England
Chen, Anyue
Ng, Kai W.
论文数: 0引用数: 0
h-index: 0
机构:
Univ Hong Kong, Dept Stat & Actuarial Sci, Hong Kong, Hong Kong, Peoples R ChinaUniv Liverpool, Dept Math Sci, Liverpool L69 7ZL, Merseyside, England