Significados de penalize regression en inglés

For genomic data-sets penalized regression methods have been applied settling this issue.

Lasso penalized regression is particularly advantageous when the number of predictors far exceeds the number of observations.

The final model was created using a penalized regression method known as the least absolute shrinkage and selection operator.

In this paper we propose netReg, a package for graph- penalized regression models that use large networks and thousands of variables.

In this paper, we develop penalized regression spline methodology that uses all the data, and improves precision of estimation compared to using only the controls.