ASYMPTOTICS FOR M-ESTIMATORS DEFINED BY CONVEX MINIMIZATION

被引:52
作者
NIEMIRO, W
机构
关键词
M-ESTIMATION; CONVEX MINIMIZATION; ASYMPTOTICS; LEAST ABSOLUTE DEVIATIONS; BAHADUR REPRESENTATION;
D O I
10.1214/aos/1176348782
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
We consider M-estimators defined by minimization of a convex criterion function, not necessarily smooth. Our asymptotic results generalize some of those concerning the LAD estimators. We establish a Bahadur-type strong approximation and bounds on the rate of convergence.
引用
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页码:1514 / 1533
页数:20
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