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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 61–70 of 309 papers

TitleStatusHype
Assessment of Prediction Intervals Using Uncertainty Characteristics Curves—0
Conformal forecasting for surgical instrument trajectory—0
Conformal Prediction Intervals for Markov Decision Process Trajectories—0
ConfEviSurrogate: A Conformalized Evidential Surrogate Model for Uncertainty Quantification—0
Approximation to Object Conditional Validity with Inductive Conformal Predictors—0
Conditional Testing based on Localized Conformal p-values—0
Conditional Coverage Estimation for High-quality Prediction Intervals—0
Tolerance and Prediction Intervals for Non-normal Models—0
A Data Envelopment Analysis Approach for Assessing Fairness in Resource Allocation: Application to Kidney Exchange Programs—0
Computation of Ultra-Short-Term Prediction Intervals of the Power Prosumption in Active Distribution Networks—0
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