A partially proximal linearized alternating minimization method for finding Dantzig selectors

The Dantzig selector (DS) is an efficient estimator designed for high-dimensional linear regression problems, especially for the case where the number of samples n is much less than the dimension of features (or variables) p . In this paper, we first reformulate the underlying DS model as an unconst...

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Veröffentlicht in:	Computational & applied mathematics 2021-03, Vol.40 (2), Article 62
Hauptverfasser:	Mao, Xiaoyu, He, Hongjin, Xu, Hong-Kun
Format:	Artikel
Sprache:	eng
Schlagworte:	Applications of Mathematics Applied physics Computational efficiency Computational mathematics Computational Mathematics and Numerical Analysis Computing time Linearization Mathematical Applications in Computer Science Mathematical Applications in the Physical Sciences Mathematics Mathematics and Statistics Optimization Selectors
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