Linear regression is a statistical method used to understand the relationship between an outcome variable and one or more explanatory variables. It works by fitting a regression line through the ...

Logistic regression is a powerful statistical method that is used to model the probability that a set of explanatory (independent or predictor) variables predict data in an outcome (dependent or ...

Recent research has focused on l1 penalized least squares (Lasso) estimators for high-dimensional linear regressions in which the number of covariates p is considerably larger than the sample size n.

One option for working with survey data in R is to use the “survey” package. For an introduction on working with survey data in R, see our earlier blog post. The first step involves creating a survey ...

The Data Science Lab Linear Support Vector Regression Using C# with Particle Swarm Training Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear ...