Variable selection in censored quantile regression with high dimensional data

2017 ◽  
Vol 61 (4) ◽  
pp. 641-658
Author(s):  
Yali Fan ◽  
Yanlin Tang ◽  
Zhongyi Zhu
Keyword(s):  
Variable Selection ◽  
Quantile Regression ◽  
High Dimensional Data ◽  
High Dimensional ◽  
Censored Quantile Regression

SCAD-penalized quantile regression for high-dimensional data analysis and variable selection

2015 ◽  
Vol 69 (3) ◽  
pp. 212-235 ◽  
Author(s):  
Muhammad Amin ◽  
Lixin Song ◽  
Milton Abdul Thorlie ◽  
Xiaoguang Wang
Keyword(s):  
Data Analysis ◽  
Variable Selection ◽  
Quantile Regression ◽  
High Dimensional Data ◽  
High Dimensional ◽  
High Dimensional Data Analysis

Extensions to Quantile Regression Forests for Very High-Dimensional Data

2014 ◽  
pp. 247-258 ◽  
Author(s):  
Nguyen Thanh Tung ◽  
Joshua Zhexue Huang ◽  
Imran Khan ◽  
Mark Junjie Li ◽  
Graham Williams
Keyword(s):  
Quantile Regression ◽  
High Dimensional Data ◽  
High Dimensional ◽  
Very High

scholarly journals Variable Selection via SCAD-Penalized Quantile Regression for High-Dimensional Count Data

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 153205-153216
Author(s):  
Dost Muhammad Khan ◽  
Anum Yaqoob ◽  
Nadeem Iqbal ◽  
Abdul Wahid ◽  
Umair Khalil ◽  
...  
Keyword(s):  
Variable Selection ◽  
Quantile Regression ◽  
Count Data ◽  
High Dimensional

Sparse Bayesian variable selection for classifying high-dimensional data

2018 ◽  
Vol 11 (2) ◽  
pp. 385-395 ◽  
Author(s):  
Aijun Yang ◽  
Heng Lian ◽  
Xuejun Jiang ◽  
Pengfei Liu
Keyword(s):  
Variable Selection ◽  
High Dimensional Data ◽  
Bayesian Variable Selection ◽  
High Dimensional ◽  
Selection For
Sign in / Sign up

Export Citation Format

Share Document