Wild refitting resamples residuals with random signs, refits the predictor once, and bounds the instance-wise mean-squared error via the resulting wild optimism.
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Wild refitting for black box prediction
Wild refitting resamples residuals with random signs, refits the predictor once, and bounds the instance-wise mean-squared error via the resulting wild optimism.