Penalized empirical likelihood for partially linear errors-in-variables models

Xia Chen; Liyue Mao

doi:10.1007/s10182-020-00365-6

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Penalized empirical likelihood for partially linear errors-in-variables models

Xia Chen Liyue Mao

Year: 2020 Journal: AStA Advances in Statistical Analysis Vol: 104 (4)Pages: 597-623 Publisher: Springer Science+Business Media

DOI: 10.1007/s10182-020-00365-6

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Keywords:

Mathematics Empirical likelihood Likelihood-ratio test Lasso (programming language) Likelihood function Test statistic Applied mathematics Feature selection Statistics Statistical hypothesis testing Econometrics Statistic Null hypothesis Maximum likelihood Estimator Computer science Artificial intelligence

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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

Control Systems and Identification

Physical Sciences → Engineering → Control and Systems Engineering

Penalized empirical likelihood for partially linear errors-in-variables models

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