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Communications in Statistics - Simulation and Computation Volume 51, 2022 - Issue 1
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Original Articles

Robust variable selection based on the random quantile LASSO

Yan Wanga Department of Statistics College of Economics, Jinan University, Guangzhou, Guangdong, P. R. China
,
Yunlu Jianga Department of Statistics College of Economics, Jinan University, Guangzhou, Guangdong, P. R. ChinaCorrespondence[email protected] [email protected]
,
Jiantao Zhanga Department of Statistics College of Economics, Jinan University, Guangzhou, Guangdong, P. R. China
,
Zhongran Chenb School of Statistics and Management, Shanghai University of Finance and Economics, Shanghai, P. R. China
,
Baojian Xiec College of Economics, Jinan University, Guangzhou, Guangdong, P. R. China
&
Chengxiang Zhaod Department of Human Resources, Jinan University, Guangzhou, Guangdong, P. R. ChinaCorrespondence[email protected] [email protected]
Pages 29-39 | Received 24 Mar 2019, Accepted 10 Jul 2019, Published online: 22 Jul 2019

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Murat Genç & M. Revan Özkale. (2024) Lasso regression under stochastic restrictions in linear regression: An application to genomic data. Communications in Statistics - Theory and Methods 53:8, pages 2816-2839.
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En Xie, Chanseok Park, Lijun Liu, Jian Zhou & Yizhong Ma. (2023) Improving the efficiency and efficacy of robust sequential bifurcation under data contamination. Communications in Statistics - Simulation and Computation 0:0, pages 1-17.
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Lasanthi C. R. Pelawa Watagoda, Alan T. Arnholt & Hasthika S. Rupasinghe Arachchige Don. (2021) HRLR regression. RMS: Research in Mathematics & Statistics 8:1.
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