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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Veröffentlicht in:	Statistics and computing Jg. 35; H. 5
Hauptverfasser:	Wu, Xiaofei, Chao, Yue, Liang, Rongmei, Tang, Shi, Zhang, Zhimin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.10.2025 Springer Nature B.V
Schlagworte:	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-Zugang:	Volltext
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