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Prediction Intervals

A prediction interval is an estimate of an interval in which a future observation will fall, with a certain probability, given what has already been observed. Prediction intervals are often used in regression analysis.

Papers

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Showing 51–60 of 309 papers

TitleStatusHype
Inductive Conformal Prediction under Data Scarcity: Exploring the Impacts of Nonconformity Measures—0
Lifted Coefficient of Determination: Fast model-free prediction intervals and likelihood-free model comparison—0
Conformalized Interactive Imitation Learning: Handling Expert Shift and Intermittent Feedback—0
Regression Conformal Prediction under BiasCode0
Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCTCode0
Conformal Prediction for Dose-Response Models with Continuous TreatmentsCode0
Posterior Conformal Prediction—0
Conditional Testing based on Localized Conformal p-values—0
A Data Envelopment Analysis Approach for Assessing Fairness in Resource Allocation: Application to Kidney Exchange Programs—0
Conformal Prediction for Manifold-based Source Localization with Gaussian Processes—0
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