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

The goal of a machine learning regression problem is to predict a single numeric value. For example, you might want to predict a person's bank savings account balance based on their age, years of ...

In this article, a Bayesian model for a constrained linear regression problem is studied. The constraints arise naturally in the context of predicting the new crop of apples for the year ahead. We ...

Sankhyā: The Indian Journal of Statistics, Series B (1960-2002), Vol. 52, No. 1 (Apr., 1990), pp. 40-49 (10 pages) The generalization provided in this paper gives a bound on the intrinsic variability, ...