Smoothed empirical likelihood inference and variable selection for quantile regression with nonignorable missing response

Ting Zhang; Lei Wang

doi:10.1016/j.csda.2019.106888

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Smoothed empirical likelihood inference and variable selection for quantile regression with nonignorable missing response

Ting Zhang Lei Wang

Year: 2019 Journal: Computational Statistics & Data Analysis Vol: 144 Pages: 106888-106888 Publisher: Elsevier BV

DOI: 10.1016/j.csda.2019.106888

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Keywords:

Mathematics Inverse probability weighting Empirical likelihood Statistics Covariate Estimator Quantile regression Missing data Quantile Feature selection Asymptotic distribution 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

Bayesian Methods and Mixture Models

Physical Sciences → Computer Science → Artificial Intelligence

Smoothed empirical likelihood inference and variable selection for quantile regression with nonignorable missing response

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