Algorithms for Fitting the Constrained Lasso
Author:
Affiliation:
1. Department of Statistics, North Carolina State University, Raleigh, NC
2. Department of Biostatistics, University of California, Los Angeles (UCLA), Los Angeles, CA
Funder
National Institutes of Health
National Science Foundation
Publisher
Informa UK Limited
Subject
Statistics, Probability and Uncertainty,Discrete Mathematics and Combinatorics,Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/10618600.2018.1473777
Reference45 articles.
1. Reference point insensitive molecular data analysis
2. Arnold, T. B., and Tibshirani, R. J. (2014), “genlasso: Path Algorithm for Generalized Lasso Problems,” R package version 1.3.
3. Efficient Implementations of the Generalized Lasso Dual Path Algorithm
4. Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
5. High-Resolution Genome-Wide Mapping of Genetic Alterations in Human Glial Brain Tumors
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