Nonparametric regression techniques such as spline smoothing and local fitting depend implicitly on a parametric model. For instance, the cubic smoothing spline estimate of a regression function ∫ μ ...

In this article, for Lasso penalized linear regression models in high-dimensional settings, we propose a modified cross-validation (CV) method for selecting the penalty parameter. The methodology is ...

NEW YORK--(BUSINESS WIRE)--Akur8 released today a new research paper for the actuarial community entitled “Credibility and Penalized Regression.” Developed by a senior team of actuaries and data ...

A new study has used multivariate regression analysis to determine which imaging biomarkers are most helpful for identifying patients with mild cognitive impairment (MCI) who are at risk of converting ...