This article is concerned with the selection of subsets of predictor variables in a linear regression model for the prediction of a dependent variable. It is based on a Bayesian approach, intended to ...

Linear regression and feature selection are two such foundational topics. Linear regression is a powerful technique for predicting numbers from other data.

This tells R to find the best model in which the response variable y is a linear function of a set of explanatory variables x1, x2, and so on. I will start with a model I call “model.ks” (to denote an ...

Regression is a statistical method that allows us to look at the relationship between two variables, while holding other factors equal.

This is a preview. Log in through your library . Abstract Shibata (1981, "Biometrika" 68, 45-54) considers data-generating mechanisms belonging to a certain class of linear regressions with errors ...