Variable selection in the single-index quantile regression model with high-dimensional covariates

被引:2
|
作者
Kuruwita, C. N. [1 ]
机构
[1] Hamilton Coll, Dept Math & Stat, Clinton, NY 13323 USA
关键词
High-dimensional covariates; Quantile regression; Variable selection;
D O I
10.1080/03610918.2021.1874986
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
We study the effects of high-dimensional covariates in the single-index quantile regression model. An improved version of an estimation algorithm is proposed with variable selection. Finite sample performance is studied through an extensive simulation study which highlights the performance of the new procedure. A data analysis on US crime data is given that exhibits the usefulness of the proposed methodology.
引用
收藏
页码:1120 / 1132
页数:13
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