Quantile regression for partially linear varying-coefficient model with censoring indicators missing at random

Yu Shen; Han‐Ying Liang

doi:10.1016/j.csda.2017.07.006

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Quantile regression for partially linear varying-coefficient model with censoring indicators missing at random

Yu Shen Han‐Ying Liang

Year: 2017 Journal: Computational Statistics & Data Analysis Vol: 117 Pages: 1-18 Publisher: Elsevier BV

DOI: 10.1016/j.csda.2017.07.006

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Keywords:

Estimator Mathematics Censoring (clinical trials) Quantile Missing data Linear regression Covariate Quantile regression Imputation (statistics) Lasso (programming language) Statistics Linear model Asymptotic distribution Nonparametric statistics Econometrics Computer science

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Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

Statistical Distribution Estimation and Applications

Physical Sciences → Mathematics → Statistics and Probability

Probabilistic and Robust Engineering Design

Social Sciences → Decision Sciences → Statistics, Probability and Uncertainty

Quantile regression for partially linear varying-coefficient model with censoring indicators missing at random

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