3 papers
stat.ME2026
Spatial Confounding in Multivariate Areal Data Analysis
Kyle Lin Wu, Sudipto Banerjee
We investigate spatial confounding in the presence of multivariate disease dependence. In the "analysis model perspective" of spatial confounding, adding a spatially dependent rand…
stat.ME2025
Assessing Spatial Disparities: A Bayesian Linear Regression Approach
Kyle Lin Wu, Sudipto Banerjee
Epidemiological investigations of regionally aggregated spatial data often involve detecting spatial health disparities among neighboring regions on a map of disease mortality or i…
cs.CV2024
Investigating the Segment Anything Foundation Model for Mapping Smallholder Agriculture Field Boundaries Without Training Labels
Pratyush Tripathy, Kathy Baylis, Kyle Wu +2
Accurate mapping of agricultural field boundaries is crucial for enhancing outcomes like precision agriculture, crop monitoring, and yield estimation. However, extracting these bou…