Sparse-station temperature interpolation via Gaussian-process committees: an artificial intelligence evaluation of variance-inflation risk in national heat-health alert triggering
Heat-health alert systems in data-sparse national settings depend on interpolated temperature fields whose uncertainty is rarely propagated into the trigger decision. The analysis treats a committee of local Gaussian-process experts as a weighted product-of-experts and derives the committee predictive variance as a qua...