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SPARSE COMPOSITE QUANTILE REGRESSION WITH ULTRAHIGH-DIMENSIONAL HETEROGENEOUS DATA 期刊论文
STATISTICA SINICA, 2022, 卷号: 32, 期号: 1, 页码: 459-475
Authors:  Qu, Lianqiang;  Hao, Meiling;  Sun, Liuquan
Favorite  |  View/Download:9/0  |  Submit date:2022/04/02
Quantile regression  sparsity  ultrahigh-dimensional data  variable screening  
Likelihood ratio-type tests in weighted composite quantile regression of DTARCH models 期刊论文
SCIENCE CHINA-MATHEMATICS, 2019, 卷号: 62, 期号: 12, 页码: 2571-2590
Authors:  Liu, Xiaoqian;  Song, Xinyuan;  Zhou, Yong
Favorite  |  View/Download:39/0  |  Submit date:2020/05/24
DTARCH model  quantile  weighted composite quantile regression  modified likelihood ratio test  restricted WCQR estimators  unrestricted WCQR estimators  
Estimation of high dimensional mean regression in the absence of symmetry and light tail assumptions 期刊论文
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 2017, 卷号: 79, 期号: 1, 页码: 247-265
Authors:  Fan, Jianqing;  Li, Quefeng;  Wang, Yuyan
Favorite  |  View/Download:18/0  |  Submit date:2018/07/30
High dimension  Huber loss  M-estimator  Optimal rate  Robust regularization  
Composite quantile regression estimation for P-GARCH processes 期刊论文
SCIENCE CHINA-MATHEMATICS, 2016, 卷号: 59, 期号: 5, 页码: 977-998
Authors:  Zhao Biao;  Chen Zhao;  Tao GuiPing;  Chen Min
Favorite  |  View/Download:55/0  |  Submit date:2018/07/30
composite quantile regression  periodic GARCH process  strictly periodic stationarity  strong consistency  asymptotic normality  
compositequantileregressionestimationforpgarchprocesses 期刊论文
sciencechinamathematics, 2016, 卷号: 59, 期号: 5, 页码: 977
Authors:  Zhao Biao;  Chen Zhao;  Tao Guiping;  Chen Min
Favorite  |  View/Download:44/0  |  Submit date:2020/01/10