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 ...

This is a preview. Log in through your library . Abstract A popular data-driven method for choosing the bandwidth in standard kernel regression is cross-validation. Even when there are outliers in the ...

In this article, the author modestly expresses his views on the use and understanding of linearity, a key parameter to be determined in analytical method validation in quality control laboratories (QC ...

Andriy Blokhin has 5+ years of professional experience in public accounting, personal investing, and as a senior auditor with Ernst & Young. Thomas J Catalano is a CFP and Registered Investment ...

Linear regression is a powerful and long-established statistical tool that is commonly used across applied sciences, economics and many other fields. Linear regression considers the relationship ...

Troy Segal is an editor and writer. She has 20+ years of experience covering personal finance, wealth management, and business news. Eric's career includes extensive work in both public and corporate ...