线性回归模型基于Mallows准则的NG估计量的渐近最优性

陈秀平,蔡光辉,高研

系统科学与数学 ›› 2017, Vol. 37 ›› Issue (11) : 2260-2270.

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系统科学与数学 ›› 2017, Vol. 37 ›› Issue (11) : 2260-2270. DOI: 10.12341/jssms13281
论文

线性回归模型基于Mallows准则的NG估计量的渐近最优性

    陈秀平1,蔡光辉1,高研2
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Asymptotic Optimality of NG Estimator for Linear Regression Model Based on Mallows Criterion

    CHEN Xiuping1 ,CAI Guanghui1 ,GAO Yan2
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摘要

Xiong (2010)提出了线性回归模型基于Mallows准则的NG (nonnegative garrote) 估计量,但对该估计量的合理性尚未给出理论上的证明. 文章借鉴模型平均估计的渐近最优的思想, 分别构建了在方差已知与方差未知情形下的基于Mallows 准则的NG估计量的渐近最优的定理, 并给出了相应的证明, 为Xiong (2010) 提出的方法提供了理论支持.

Abstract

Xiong (2010) proposed using Mallows criterion to obtain the nonnegative garrote (NG) estimator for linear regression model, but the rationality of the estimator has not been proved theoretically. In this paper, we refer to the idea of the asymptotic optimality of the model average estimator, and show the asymptotic optimality of NG estimator based on Mallows criterion in term of known variance and unknown variance, and provide theoretical support for the method proposed by Xiong (2010).

关键词

Nonnegative Garrote / 渐近最优性 / 系数压缩.

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陈秀平 , 蔡光辉 , 高研. 线性回归模型基于Mallows准则的NG估计量的渐近最优性. 系统科学与数学, 2017, 37(11): 2260-2270. https://doi.org/10.12341/jssms13281
CHEN Xiuping , CAI Guanghui , GAO Yan. Asymptotic Optimality of NG Estimator for Linear Regression Model Based on Mallows Criterion. Journal of Systems Science and Mathematical Sciences, 2017, 37(11): 2260-2270 https://doi.org/10.12341/jssms13281
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