Crossmark

High-dimensional grouped folded concave penalized estimation via the LLA algorithm

Crossref DOI link: https://doi.org/10.1016/j.jkss.2018.08.006

Published Print: 2019-03

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Guo, Xiao

Wang, Yao

Zhang, Hai
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (11501440, 61673015)

China Postdoctoral Science Foundation (2017M610628, 2018T111031)

Key Research Program of Hunan Province (2017GK2273)

National Natural Science Foundation of China (11571011)
License Information

Text and Data Mining valid from 2019-03-01
More Information

This article is maintained by: Elsevier

Article Title: High-dimensional grouped folded concave penalized estimation via the LLA algorithm

Journal Title: Journal of the Korean Statistical Society

CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.jkss.2018.08.006

Content Type: article

Copyright: © 2018 The Korean Statistical Society. Published by Elsevier B.V. All rights reserved.