Bias-corrected Quantile Regression Forests for high-dimensional data

2014 ◽  
Author(s):  
Nguyen Thanh Tung ◽  
Joshua Zhexue Huang ◽  
Thuy Thi Nguyen ◽  
Imran Khan
Keyword(s):  
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High Dimensional Data ◽  
High Dimensional

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

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

Adaptive penalized quantile regression for high dimensional data

2013 ◽  
Vol 143 (6) ◽  
pp. 1029-1038 ◽  
Author(s):  
Qi Zheng ◽  
Colin Gallagher ◽  
K.B. Kulasekera
Keyword(s):  
Quantile Regression ◽  
High Dimensional Data ◽  
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scholarly journals Globally adaptive quantile regression with ultra-high dimensional data

2015 ◽  
Vol 43 (5) ◽  
pp. 2225-2258 ◽  
Author(s):  
Qi Zheng ◽  
Limin Peng ◽  
Xuming He
Keyword(s):  
Quantile Regression ◽  
High Dimensional Data ◽  
High Dimensional
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