Empirical Likelihood Test for Regression Coefficients in High Dimensional Partially Linear Models

Yan Liu; Mingyang Ren; Sanguo Zhang

doi:10.1007/s11424-020-9260-3

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Empirical Likelihood Test for Regression Coefficients in High Dimensional Partially Linear Models

Yan Liu Mingyang Ren Sanguo Zhang

Year: 2020 Journal: Journal of Systems Science and Complexity Vol: 34 (3)Pages: 1135-1155 Publisher: Springer Science+Business Media

DOI: 10.1007/s11424-020-9260-3

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Keywords:

Empirical likelihood Mathematics Statistics Linear regression Nuisance parameter Type I and type II errors Regression analysis Applied mathematics Multivariate adaptive regression splines Degrees of freedom (physics and chemistry) Statistical hypothesis testing Linear model Polynomial regression

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Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

Advanced Statistical Methods and Models

Physical Sciences → Mathematics → Statistics and Probability

Statistical Methods in Clinical Trials

Physical Sciences → Mathematics → Statistics and Probability

Empirical Likelihood Test for Regression Coefficients in High Dimensional Partially Linear Models

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