LSCP uses quantile regression to learn local weights for spatial conformal prediction, but its finite-sample coverage theorem rests on a flawed proof step.
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Spatial Conformal Inference through Localized Quantile Regression
LSCP uses quantile regression to learn local weights for spatial conformal prediction, but its finite-sample coverage theorem rests on a flawed proof step.