estimators. Furthermore, we consider an adaptive lasso penalized variable selection method and establish its oracle property …

We use lasso methods to shrink, select and estimate the network linking the publicly-traded subset of the world's top …

We use lasso methods to shrink, select and estimate the network linking the publicly-traded subset of the world's top …

absolute penalty estimator through Monte Carlo simulation. Lasso and adaptive lasso were implemented for simultaneous model … selection and parameter estimation. A real data example is given to compare the proposed estimators with lasso and adaptive … lasso estimators. …

Autometrics in that context. Paramount considerations include embedding relationships in general initial models, possibly …