A new scope of penalized empirical likelihood with high-dimensional estimating equations
نویسندگان
چکیده
منابع مشابه
Penalized Empirical Likelihood and Growing Dimensional General Estimating Equations
When a parametric likelihood function is not specified for a model, estimating equations provide an instrument for statistical inference. Qin & Lawless (1994) illustrated that empirical likelihood makes optimal use of these equations in inferences for fixed (low) dimensional unknown parameters. In this paper, we study empirical likelihood for general estimating equations with growing (high) dim...
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ژورنال
عنوان ژورنال: The Annals of Statistics
سال: 2018
ISSN: 0090-5364
DOI: 10.1214/17-aos1655