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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 151–175 of 309 papers

TitleStatusHype
Conformalized-DeepONet: A Distribution-Free Framework for Uncertainty Quantification in Deep Operator Networks—0
Efficient Normalized Conformal Prediction and Uncertainty Quantification for Anti-Cancer Drug Sensitivity Prediction with Deep Regression Forests—0
Uncertainty-aware multi-fidelity surrogate modeling with noisy data—0
Reliable Prediction Intervals with Regression Neural Networks—0
Sequential inductive prediction intervals—0
Adaptability of Computer Vision at the Tactical Edge: Addressing Environmental Uncertainty—0
Conformalized Deep Splines for Optimal and Efficient Prediction SetsCode0
Stability of Random Forests and Coverage of Random-Forest Prediction Intervals—0
Guaranteed Coverage Prediction Intervals with Gaussian Process Regression—0
UncertaintyPlayground: A Fast and Simplified Python Library for Uncertainty EstimationCode0
Approaches for Uncertainty Quantification of AI-predicted Material Properties: A Comparison—0
Asymptotically free sketched ridge ensembles: Risks, cross-validation, and tuningCode0
The WayHome: Long-term Motion Prediction on Dynamically Scaled—0
Distribution-free risk assessment of regression-based machine learning algorithms—0
Conformal Predictions for Longitudinal Data—0
Assessment of Prediction Intervals Using Uncertainty Characteristics Curves—0
Confidence Calibration for Systems with Cascaded Predictive Modules—0
Computation of Ultra-Short-Term Prediction Intervals of the Power Prosumption in Active Distribution Networks—0
Conditional validity of heteroskedastic conformal regressionCode0
Quantifying predictive uncertainty of aphasia severity in stroke patients with sparse heteroscedastic Bayesian high-dimensional regressionCode0
Beta quantile regression for robust estimation of uncertainty in the presence of outliers—0
An LSTM-Based Predictive Monitoring Method for Data with Time-varying Variability—0
Conformal prediction for frequency-severity modelingCode0
Uncertainty Quantification of the Virial Black Hole Mass with Conformal PredictionCode0
UTOPIA: Universally Trainable Optimal Prediction Intervals Aggregation—0
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