A regression problem is one where the goal is to predict a single numeric value. For example, you might want to predict the annual income of a person based on their sex, age, State where they live and ...

The goal of a machine learning regression problem is to predict a single numeric value. For example, you might want to predict the price of a house based on its square footage, number of bedrooms, ...

The dependence of ridge-regression estimates on the choice of parameterization is defined with reference to the hull of all possible ridge estimates for all possible parameterizations. A reanalysis of ...

We suggest a new horizontal scaling for the ridge trace, some new techniques for monitoring ridge solutions including an index of stability of relative magnitudes (ISRM) and numerical largeness of ...