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	Deviation inequalities, moderate deviation principles for certain Gaussian functionals, and their applications in parameter estimation
	Jiang, Hui[1]; Li, Shimin[1]; Wang, Shaochen[2]
刊名	STOCHASTIC ANALYSIS AND APPLICATIONS
	2017
卷号	35页码:615-632
关键词	Deviation inequalities minimum distance estimator moderate deviation principle multiple Wiener-Ito integrals Ornstein-Uhlenbeck process
URL标识	查看原文
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2185149
专题	华南理工大学
作者单位	1.[1]Nanjing Univ Aeronaut & Astronaut, Dept Math, Nanjing, Jiangsu, Peoples R China 2.[2]South China Univ Technol, Sch Math, Guangzhou, Guangdong, Peoples R China
推荐引用方式 GB/T 7714	Jiang, Hui[1],Li, Shimin[1],Wang, Shaochen[2]. Deviation inequalities, moderate deviation principles for certain Gaussian functionals, and their applications in parameter estimation[J]. STOCHASTIC ANALYSIS AND APPLICATIONS,2017,35:615-632.
APA	Jiang, Hui[1],Li, Shimin[1],&Wang, Shaochen[2].(2017).Deviation inequalities, moderate deviation principles for certain Gaussian functionals, and their applications in parameter estimation.STOCHASTIC ANALYSIS AND APPLICATIONS,35,615-632.
MLA	Jiang, Hui[1],et al."Deviation inequalities, moderate deviation principles for certain Gaussian functionals, and their applications in parameter estimation".STOCHASTIC ANALYSIS AND APPLICATIONS 35(2017):615-632.

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