Revolutionize linear regression with LASSO: Efficient, sparse estimates for all!
The LASSO method combines shrinkage estimation with model selection in linear regression models. It can produce a sparse estimate of parameters, even when there are more parameters than observations. LASSO estimates can be computed efficiently using methods like coordinate descent. Variations of LASSO, such as fused LASSO and group LASSO, have been developed to enhance its capabilities.