Penalized empirical likelihood for semiparametric models with a diverging number of parameters

Jianglin Fang; Wanrong Liu; Xuewen Lu

doi:10.1016/j.jspi.2017.02.006

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Penalized empirical likelihood for semiparametric models with a diverging number of parameters

Jianglin Fang Wanrong Liu Xuewen Lu

Year: 2017 Journal: Journal of Statistical Planning and Inference Vol: 186 Pages: 42-57 Publisher: Elsevier BV

DOI: 10.1016/j.jspi.2017.02.006

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Keywords:

Mathematics Empirical likelihood Estimator Asymptotic distribution Applied mathematics Statistic Semiparametric model Likelihood-ratio test Statistics Test statistic Statistical hypothesis testing

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Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

Statistical Methods and Bayesian Inference

Physical Sciences → Mathematics → Statistics and Probability

Bayesian Methods and Mixture Models

Physical Sciences → Computer Science → Artificial Intelligence

Penalized empirical likelihood for semiparametric models with a diverging number of parameters

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