Broken adaptive ridge method for variable selection in generalized partly linear models with application to the coronary artery disease data.
- DOI
- 10.1016/j.jcmds.2025.100127
- Published
- 2025 Dec
- Container
- Journal of Computational Mathematics and Data Science
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.jcmds.2025.100127,
title = {Broken adaptive ridge method for variable selection in generalized partly linear models with application to the coronary artery disease data.},
author = {Chan C and Dai X and Chekouo T and Long Q and Lu X},
year = {2025},
journal = {Journal of Computational Mathematics and Data Science},
doi = {10.1016/j.jcmds.2025.100127},
url = {https://doi.org/10.1016/j.jcmds.2025.100127}
}RIS
TY - JOUR TI - Broken adaptive ridge method for variable selection in generalized partly linear models with application to the coronary artery disease data. AU - Chan C AU - Dai X AU - Chekouo T AU - Long Q AU - Lu X PY - 2025 JO - Journal of Computational Mathematics and Data Science DO - 10.1016/j.jcmds.2025.100127 UR - https://doi.org/10.1016/j.jcmds.2025.100127 ER -
APA
C, C., X, D., T, C., Q, L., & X, L. (2025). Broken adaptive ridge method for variable selection in generalized partly linear models with application to the coronary artery disease data.. Journal of Computational Mathematics and Data Science. https://doi.org/10.1016/j.jcmds.2025.100127
Source records
- pubmed · retrieved 2026-09-25T14:54:16.989Z