scholarly journals Globally Adaptive Longitudinal Quantile Regression With High Dimensional Compositional Covariates

2023 ◽  
Author(s):  
Huijuan Ma ◽  
Qi Zheng ◽  
Zhumin Zhang ◽  
Huichuan Lai ◽  
Limin Peng
Keyword(s):  
Quantile Regression ◽  
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

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 signal shrinkage and outlier detection in high-dimensional quantile regression with variational Bayes

2020 ◽  
Vol 13 (2) ◽  
pp. 237-249 ◽  
Author(s):  
Daeyoung Lim ◽  
Beomjo Park ◽  
David Nott ◽  
Xueou Wang ◽  
Taeryon Choi
Keyword(s):  
Quantile Regression ◽  
Outlier Detection ◽  
Variational Bayes ◽  
High Dimensional ◽  
Sparse Signal
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