Quantile Regression of Ultra-high Dimensional Partially Linear Varying-coefficient Model with Missing Observations

Bao Hua Wang; Han Ying Liang

doi:10.1007/s10114-023-0667-3

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Quantile Regression of Ultra-high Dimensional Partially Linear Varying-coefficient Model with Missing Observations

Bao Hua Wang Han Ying Liang

Year: 2023 Journal: Acta Mathematica Sinica English Series Vol: 39 (9)Pages: 1701-1726 Publisher: Springer Science+Business Media

DOI: 10.1007/s10114-023-0667-3

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Keywords:

Covariate Mathematics Estimator Missing data Quantile Asymptotic distribution Quantile regression Linear regression Statistics Dimension (graph theory) Linear model Consistency (knowledge bases) Applied mathematics Combinatorics

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Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

Soil Geostatistics and Mapping

Physical Sciences → Environmental Science → Environmental Engineering

Statistical Methods and Bayesian Inference

Physical Sciences → Mathematics → Statistics and Probability

Quantile Regression of Ultra-high Dimensional Partially Linear Varying-coefficient Model with Missing Observations

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