JSTOR Daily

Wavelet-Based LASSO in Functional Linear Regression

In linear regression with functional predictors and scalar responses, it may be advantageous, particularly if the function is thought to contain features at many scales, to restrict the coefficient ...
JSTOR Daily

A Homotopy Algorithm for the Quantile Regression Lasso and Related Piecewise Linear Problems

We show that the homotopy algorithm of Osborne, Presnell, and Turlach (2000), which has proved such an effective optimal path following method for implementing Tibshirani's "lasso" for variable ...
EurekAlert!

Six models were established using two batches of model genes(REC and AAG), and along with three machine learning algorithms: LASSO, linear regression (LR), and random forest ...

a). The models can accurately identify AD lesions in training data; b). LASSO (REC and AAG) and LR (REC and AAG) models showed good classification performed in the testing datasets; c). all genes ...
technologynetworks

Linear Regression

Linear regression is a powerful and long-established statistical tool that is commonly used across applied sciences, economics and many other fields. Linear regression considers the relationship ...