Krylov subspace solvers for ℓ1 regularized logistic regression method-Reference-Cited by-同舟云学术

Krylov subspace solvers for ℓ1 regularized logistic regression method

Published:2021-04-19 Issue: Volume: Page:1-17
ISSN:0361-0918
Container-title:Communications in Statistics - Simulation and Computation
language:en
Short-container-title:Communications in Statistics - Simulation and Computation

Author:

Guide M. El¹,Jbilou K.²,Koukouvinos C.³,Lappa A.³

Affiliation:

1. Centre for Behavioral Economics and Decision Making (CBED), FGSES, Mohammed VI Polytechnic University, Green City, Morocco

2. Department of Mathematics, Université du Littoral Côte d’Opale, Calais Cedex, France

3. Department of Mathematics, National Technical University of Athens, Athens, Greece

Publisher

Informa UK Limited

Subject

Modelling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/03610918.2021.1914093

Reference33 articles.

1. Flexible Krylov Methods for $\ell_p$ Regularization

2. Efficient generalized Golub–Kahan based methods for dynamic inverse problems

3. The Logit Model in Economics

4. Dua, D., and C. Graff. 2019. UCI Machine learning repository. Irvine, CA: University of California, USA, School of Information and Computer Science. http://archive.ics.uci.edu/ml

5. Least angle regression

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