Overview
The goal of this project is to develop novel machine learning and statistical models for both hedonic mass appraisal of real estate objects and for scenario-based real estate price prediction. In particular, the focus is on developing spatially and spatio-temporally varying coefficient models that can handle large data and applying them to the task of real estate mass appraisal.
