Reformulating Input Data for Linear Regression of Demographic Data

Abstract

In regressing demographic data, neighborhood information needs to be taken into account, which makes conventional linear regression models inappropriate. In this paper, to incorporate neighborhood information without incurring extra computational cost, we investigate various possibilities to reformulate input data. Experiments show that augmenting each site with its neighborhood information gives the best results.