LASSO - Definition, Estimation, Uses and Geometry

LASSO, short for Least Absolute Shrinkage and Selection Operator, is a statistical formula whose main purpose is the feature selection

statistics - Geometric illustration of Ridge and Lasso estimates - Mathematics Stack Exchange

On the equivalency between frequentist Ridge (and LASSO) regression and hierarchial Bayesian regression

MAKE, Free Full-Text

Lasso Regularization - MATLAB & Simulink

Full article: A descent algorithm for constrained LAD-Lasso estimation with applications in portfolio selection

lasso - Derivation of equation 6.15 of Introduction to Statistical Learning - 2nd ed - Cross Validated

Ridge and Lasso: Geometric Interpretation — astroML 0.4 documentation

Performance of the Lasso (black solid line) and the normalized Lasso

Lesson 5: Regression Shrinkage Methods

A greedy regression algorithm with coarse weights offers novel advantages

Critical values of exact recovery for the lasso (dashed) and marginal

Chapter 4 Lasso Regression and Elasticnet

From Linear Regression to Ridge Regression, the Lasso, and the Elastic Net, by Robby Sneiderman