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Regression shrinkage and selection via least quantile shrinkage and selection operator
Over recent years, the state-of-the-art lasso and adaptive lasso have aquired remarkable consideration. Unlike the lasso technique, adaptive lasso welcomes the variables’ effects in penalty meanwhile specifying adaptive weights to penalize coefficients in a different manner. However, if the initial...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9934385/ https://www.ncbi.nlm.nih.gov/pubmed/36795659 http://dx.doi.org/10.1371/journal.pone.0266267 |