In this paper, we consider the problem of determining the number of structural changes in multiple linear regression models via group fused Lasso. We show that with probability tending to one, our ...

The paper considers statistical inference for the explained variance βTΣβ under the high dimensional linear model Y = X β + ϵ in the semisupervised setting, where β is the regression vector and Σ is ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...