Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with two-way interactions between ...

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 ...

The purpose of this tutorial is to continue our exploration of regression by constructing linear models with two or more explanatory variables. This is an extension of Lesson 9. I will start with a ...

This is a preview. Log in through your library . Abstract This paper discusses Bayesian inference procedures for a normal dispersion matrix. Structural information for the prior mean of the dispersion ...

We propose a multivariate sparse group lasso variable selection and estimation method for data with highdimensional predictors as well as high-dimensional response variables. The method is carried out ...