期刊文献+

线性回归模型中的渐近最优性

Asymptotic Optimality in Linear Regression
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摘要 对线性回归中系数的一类估计给出了理论上的最优均方误差.证明了渐近意义下最小二乘估计和lasso估计均不具有最优均方误差性.最后给出了一个具有渐近最小均方误差的回归估计. Theoretical optimal Mean Squared Error (MSE) of a class of regression estimators was provided. It was proved that neither the least squares estimator nor the lasso estimator possesses the asymptotic optimality. A new re- gression estimator which has the asymptotic optimality was also given.
出处 《信阳师范学院学报(自然科学版)》 CAS 北大核心 2014年第2期167-169,180,共4页 Journal of Xinyang Normal University(Natural Science Edition)
基金 北京市委组织部优秀人才培养资助项目(2013D005017000016) 中央支持地方项目(PXM 2013_014210_000173)
关键词 最小二乘 均方误差 lasso least squares mean squared error(MSE) lasso
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参考文献7

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