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Author

S. Chandra

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Open access Sep 2026

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...

Megha Sharma, S. Chandra, Gargi Tyagi · 0 citations

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