Using Geographically Weighted Regression (GWR) Models for Censored Data

GWR models have been widely used in the field of Spatial Statistics, where a global regression model seem to have not the required prediction precision and therefore the local data are decided to be used in GWR models.

This project aims to study and further extend the theory and application of the GWR when the data for either the independent or dependent variables are censored.