Feature splitting parallel algorithm for Dantzig selectors

The Dantzig selector is a widely used and effective method for variable selection in ultra-high-dimensional data. Feature splitting is an efficient processing technique that involves dividing these ultra-high-dimensional variable datasets into manageable subsets that can be stored and processed more...

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Bibliographic Details

Published in:	Statistics and computing Vol. 35; no. 5
Main Authors:	Wu, Xiaofei, Chao, Yue, Liang, Rongmei, Tang, Shi, Zhang, Zhimin
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.10.2025 Springer Nature B.V
Subjects:	Algorithms Artificial Intelligence Computer Science Convergence Original Paper Probability and Statistics in Computer Science Selectors Splitting Statistical Theory and Methods Statistics and Computing/Statistics Programs Partition-insensitive Parallel computing Proximal point algorithm Dantzig selector Feature splitting
ISSN:	0960-3174, 1573-1375
Online Access:	Get full text
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