Simple linear regression with inequality constraints on the parameters: a bayesian approach

Abstract

When examining the simple linear regression model, we may know a priori that the slope parameter is constrained to lie in an interval (finite or semi-infinite). In this article, we examine the behavior and properties of the Bayesian posterior mean, median and mode as estimators of the slope parameter, both when σ2 is known and unknown.