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Nonnegativity Shapes Predictive Uncertainty: Complementary Model Fits and Quantile Construction
Knowing that a response cannot be negative can inform predictive uncertainty, including extreme upper quantiles. This knowledge matters especially when a black-box system returns long vector responses at few covariate settings, leaving large uncertainty across many entries. We develop a framework th
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