Characterization of the solutions set of the generalized LASSO problems for non-full rank cases
Author:
Affiliation:
1. Seoul, Republic of Korea, SKTelecom
2. Seoul, Republic of Korea, Dept of Statistics, Seoul National University
Publisher
Institute of Mathematical Statistics
Subject
Statistics and Probability,Statistics, Probability and Uncertainty
Reference23 articles.
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3. GRANT, M. (2009). CVX: Matlab software for disciplined convex programming. http://stanford.edu/~boyd/cvx.
4. GUYON, I., WESTON, J., BARNHILL, S. and VAPNIK, V. (2002). Gene selection for cancer classification using support vector machines. Machine learning 46 389–422.
5. JEON, J.-J., KIM, Y., WON, S. and CHOI, H. (2020). Primal path algorithm for compositional data analysis. Computational Statistics & Data Analysis 148 106958.
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