Empirical Bayes estimation of the truncation parameter with Linex loss

被引:11
|
作者
Huang, SY
Liang, TC
机构
[1] ACAD SINICA, INST STAT SCI, TAIPEI 115, TAIWAN
[2] WAYNE STATE UNIV, DEPT MATH, DETROIT, MI 48202 USA
关键词
asymptotic optimality; empirical Bayes estimator; Linex loss; rate of convergence; regret risk;
D O I
暂无
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
This paper deals with the empirical Bayes estimation of the truncation position of the truncated family under the Liner loss. Nonparametric empirical Bayes estimator is proposed and its asymptotic optimality and rate are investigated. Under certain mild conditions without any differentiability assumption on either the prior or the marginal distribution, it is shown that the proposed empirical Bayes estimator is asymptotically optimal with convergence rate given. Simulation results on the performance of the proposed empirical Bayes estimator are also presented.
引用
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页码:755 / 769
页数:15
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