How to cite Least absolute shrinkage and selection operator
Also: LASSO
Machine learning
Least absolute shrinkage and selection operator is a regression analysis method that performs both variable selection and regularization in order to enhance the prediction accuracy and interpretability of the statistical model.
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@article{tibshirani1996regression,
title={Regression shrinkage and selection via the lasso},
author={Tibshirani, Robert},
journal={Journal of the Royal Statistical Society: Series B (Methodological)},
volume={58},
number={1},
pages={267--288},
year={1996},
publisher={Wiley Online Library}
}
title={Regression shrinkage and selection via the lasso},
author={Tibshirani, Robert},
journal={Journal of the Royal Statistical Society: Series B (Methodological)},
volume={58},
number={1},
pages={267--288},
year={1996},
publisher={Wiley Online Library}
}
@article{tibshirani1996regression,
title={Regression shrinkage and selection via the lasso},
author={Tibshirani, Robert},
journal={Journal of the Royal Statistical Society: Series B (Methodological)},
volume={58},
number={1},
pages={267--288},
year={1996},
publisher={Wiley Online Library}
}
title={Regression shrinkage and selection via the lasso},
author={Tibshirani, Robert},
journal={Journal of the Royal Statistical Society: Series B (Methodological)},
volume={58},
number={1},
pages={267--288},
year={1996},
publisher={Wiley Online Library}
}
Copy to clipboard: CTLR + C, then ENTER or click OK
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