Robust Empirical Likelihood

被引:0
|
作者
Keziou, Amor [1 ]
Toma, Aida [2 ,3 ]
机构
[1] Univ Reims, Lab Math Reims LMR CNRS UMR 9008, UFR Sci Exactes & Nat Moulin Housse, BP 1039, F-51687 Reims 2, France
[2] Bucharest Univ Econ Studies, Dept Appl Math, Piata Romana 6, Bucharest, Romania
[3] Romanian Acad, Gheorghe Mihoc Caius Iacob Inst Math Stat & Appl, Bucharest, Romania
来源
关键词
Moment condition models; Robustness; Divergence measures; GENERALIZED-METHOD; SAMPLE PROPERTIES; MOMENTS; DIVERGENCES; GMM; ESTIMATORS; DUALITY;
D O I
10.1007/978-3-030-80209-7_90
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, we present a robust version of the empirical likelihood estimator for semiparametric moment condition models. This estimator is obtained by minimizing the modified Kullback-Leibler divergence, in its dual form, using truncated orthogonality functions. Some asymptotic properties regarding the limit laws of the estimators are stated.
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页码:841 / 848
页数:8
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