Empirical likelihood in single-index quantile regression with high dimensional and missing observations

Baohua Wang; Han‐Ying Liang

doi:10.1016/j.jspi.2023.01.005

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Empirical likelihood in single-index quantile regression with high dimensional and missing observations

Baohua Wang Han‐Ying Liang

Year: 2023 Journal: Journal of Statistical Planning and Inference Vol: 226 Pages: 1-19 Publisher: Elsevier BV

DOI: 10.1016/j.jspi.2023.01.005

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Keywords:

Empirical likelihood Mathematics Statistics Missing data Covariate Quantile Likelihood-ratio test Estimator Asymptotic distribution Test statistic Quantile regression Likelihood function Econometrics Statistical hypothesis testing Estimation theory

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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

Bayesian Methods and Mixture Models

Physical Sciences → Computer Science → Artificial Intelligence

Empirical likelihood in single-index quantile regression with high dimensional and missing observations

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