A robust geographically weighted LASSO model with Huber Loss for outlier-resilient spatial analysis: application to COVID-19 dynamics in Indian districts
Geographically Weighted Regression (GWR) is a widely used technique for modeling spatially varying relationships in epidemiological data. However, its sensitivity to multicollinearity and outliers can limit its reliability in complex datasets, such as those involving COVID-19. To address these limitations, this study f...