We study the asymptotic properties of the Adaptive LASSO (adaLASSO) in sparse, high-dimensional, linear time …

In this paper we show the validity of the adaptive LASSO procedure in estimating stationary ARDL(p,q) models with GARCH … innovations. We show that, given a set of initial weights, the adaptive Lasso selects the relevant variables with probability … variables beforehand. Finally, we show that the LASSO estimator can be used to construct the initial weights. The performance of …

, four regularization techniques- the Standard lasso, Adaptive lasso, the minimum Schwarz Bayesian information criterion … lasso, and the Elasticnet are trained based on a dataset containing 86 covariates of financial development for the period … literacy are crucial for financial sector development in Africa. Evidence from the Partialing-out lasso instrumental variable …

, four regularization techniques— the Standard lasso, Adaptive lasso, the minimum Schwarz Bayesian information criterion … lasso, and the Elasticnet are trained based on a dataset containing 86 covariates of financial development for the period … literacy are crucial for financial sector development in Africa. Evidence from the Partialing-out lasso instrumental variable …