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Adaptive penalized quantile regression for high dimensional data
Journal of Statistical Planning and Inference
◽
10.1016/j.jspi.2012.12.009
◽
2013
◽
Vol 143
(6)
◽
pp. 1029-1038
◽
Cited By ~ 17
Author(s):
Qi Zheng
◽
Colin Gallagher
◽
K.B. Kulasekera
Keyword(s):
Quantile Regression
◽
High Dimensional Data
◽
High Dimensional
Download Full-text
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References
Extensions to Quantile Regression Forests for Very High-Dimensional Data
Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science
◽
10.1007/978-3-319-06605-9_21
◽
2014
◽
pp. 247-258
◽
Cited By ~ 5
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
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Bias-corrected Quantile Regression Forests for high-dimensional data
2014 International Conference on Machine Learning and Cybernetics
◽
10.1109/icmlc.2014.7009082
◽
2014
◽
Cited By ~ 1
Author(s):
Nguyen Thanh Tung
◽
Joshua Zhexue Huang
◽
Thuy Thi Nguyen
◽
Imran Khan
Keyword(s):
Quantile Regression
◽
High Dimensional Data
◽
High Dimensional
Download Full-text
Variable selection in censored quantile regression with high dimensional data
Science China Mathematics
◽
10.1007/s11425-016-9016-7
◽
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
Download Full-text
SCAD-penalized quantile regression for high-dimensional data analysis and variable selection
Statistica Neerlandica
◽
10.1111/stan.12056
◽
2015
◽
Vol 69
(3)
◽
pp. 212-235
◽
Cited By ~ 3
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
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Atan Regularized in Quantile Regression for High Dimensional Data
Journal of Physics Conference Series
◽
10.1088/1742-6596/1818/1/012098
◽
2021
◽
Vol 1818
(1)
◽
pp. 012098
Author(s):
Ali Hameed Yousif
◽
Wafaa Jaafer Housain
Keyword(s):
Quantile Regression
◽
High Dimensional Data
◽
High Dimensional
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Globally adaptive quantile regression with ultra-high dimensional data
The Annals of Statistics
◽
10.1214/15-aos1340
◽
2015
◽
Vol 43
(5)
◽
pp. 2225-2258
◽
Cited By ~ 18
Author(s):
Qi Zheng
◽
Limin Peng
◽
Xuming He
Keyword(s):
Quantile Regression
◽
High Dimensional Data
◽
High Dimensional
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Single-index composite quantile regression for ultra-high-dimensional data
Test
◽
10.1007/s11749-021-00785-9
◽
2021
◽
Author(s):
Rong Jiang
◽
Mengxian Sun
Keyword(s):
Quantile Regression
◽
High Dimensional Data
◽
High Dimensional
◽
Composite Quantile Regression
◽
Single Index
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Sequential change point detection for high‐dimensional data using nonconvex penalized quantile regression
Biometrical Journal
◽
10.1002/bimj.202000078
◽
2020
◽
Author(s):
Suthakaran Ratnasingam
◽
Wei Ning
Keyword(s):
Quantile Regression
◽
Change Point
◽
High Dimensional Data
◽
Change Point Detection
◽
High Dimensional
◽
Sequential Change
◽
Point Detection
Download Full-text
Large Sample Covariance Matrices and High-Dimensional Data Analysis
10.1017/cbo9781107588080
◽
2015
◽
Cited By ~ 26
Author(s):
Jianfeng Yao
◽
Shurong Zheng
◽
Zhidong Bai
Keyword(s):
Data Analysis
◽
High Dimensional Data
◽
Covariance Matrices
◽
High Dimensional
◽
Large Sample
◽
Sample Covariance Matrices
◽
Sample Covariance
◽
High Dimensional Data Analysis
Download Full-text
Fractal-Based Methods as a Technique for Estimating the Intrinsic Dimensionality of High-Dimensional Data: A Survey
Informatica
◽
10.15388/informatica.2016.84
◽
2016
◽
Vol 27
(2)
◽
pp. 257-281
◽
Cited By ~ 5
Author(s):
Rasa Karbauskaitė
◽
Gintautas Dzemyda
Keyword(s):
High Dimensional Data
◽
High Dimensional
◽
Intrinsic Dimensionality
Download Full-text
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