A modular Bayesian model with predictive stacking estimates how a spatially and temporally misaligned exposure relates to a block-level health outcome, demonstrated on California ozone and asthma emergency visits.
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Bayesian Inference for Spatially-Temporally Misaligned Data Using Predictive Stacking
A modular Bayesian model with predictive stacking estimates how a spatially and temporally misaligned exposure relates to a block-level health outcome, demonstrated on California ozone and asthma emergency visits.