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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Príomhchruthaitheoirí: Ali S.A. Ambark, Mohd Tahir Ismail, Abdullah S. Al-Jawarneh, Samsul Ariffin Abdul Karim
Formáid: Alt
Teanga:English
English
Foilsithe / Cruthaithe: ResearchGate 2023
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Rochtain ar líne:https://eprints.ums.edu.my/id/eprint/37712/1/ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/37712/2/FULL%20TEXT.pdf