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...

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Main Authors: Ali S.A. Ambark, Mohd Tahir Ismail, Abdullah S. Al-Jawarneh, Samsul Ariffin Abdul Karim
格式: Article
語言:English
English
出版: ResearchGate 2023
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在線閱讀:https://eprints.ums.edu.my/id/eprint/37712/1/ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/37712/2/FULL%20TEXT.pdf
https://eprints.ums.edu.my/id/eprint/37712/
http://dx.doi.org/10.1109/ACCESS.2023.3257032
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