Elastic net penalized Quantile Regression Model and Empirical Mode Decomposition for Improving the Accuracy of the Model Selection
In quantile regression models, numerous penalization methods have been developed to deal with ordinary least-squares method problems. Such methods are ridge penalized quantile regression, lasso penalized quantile regression, and elastic net penalized quantile regression which are used for variable s...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
ResearchGate
2023
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| Subjects: | |
| Online Access: | https://eprints.ums.edu.my/id/eprint/37712/1/ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/37712/2/FULL%20TEXT.pdf |