arXiv cs.LG
· Papers
Spatial Deconfounder: Interference-Aware Deconfounding for Spatial Causal Inference
arXiv:2510.08762v2 Announce Type: replace Abstract: Causal inference in spatial domains faces two intertwined challenges: (1) unmeasured spatial factors, such as weather, air pollution, or mobility, that confound treatment and outcome, and (2) interference from nearby treatments that violate standard no-interference as