Using these data, we sought to compare LR against four common ML algorithms: penalized lasso, support vector machine (SVM), k-nearest neighbor (KNN), and random forest (RF) in classification ...

To solve the sparse estimation problem, we introduce an optimization algorithm. Under some conditions, we show the algorithmic and statistical convergence property for the coefficients obtained by the ...

The methods described by Aitkin and Clayton (1980) for fitting parametric regression models to survival data consist of a two-step recursive algorithm. In the first step a transformation of the ...