Model selection and forecasting in stress tests can be facilitated using machine learning techniques. These techniques have proved robust in other fields for dealing with the curse of dimensionality, ...

A LASSO-derived model for the prediction of coagulation disorders after coronary artery bypass grafting. J Thorac Dis 2025;17 (1):231-242. doi: 10.21037/jtd-24-1321 ...

We study the asymptotic properties of the adaptive Lasso estimators in sparse, high-dimensional, linear regression models when the number of covariates may increase with the sample size. We consider ...

Geographic information systems (GIS) organize spatial data in multiple two-dimensional arrays called layers. In many applications, a response of interest is observed on a set of sites in the landscape ...