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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 51–75 of 309 papers

TitleStatusHype
Bellman Conformal Inference: Calibrating Prediction Intervals For Time SeriesCode1
Conformal Convolution and Monte Carlo Meta-learners for Predictive Inference of Individual Treatment EffectsCode1
A Temporal Fusion Transformer for Long-term Explainable Prediction of Emergency Department Overcrowding—0
A Distribution Adaptive Framework for Prediction Interval Estimation Using Nominal Variables—0
Quantile Regression using Random Forest Proximities—0
Confidence-Nets: A Step Towards better Prediction Intervals for regression Neural Networks on small datasets—0
A Deep Generative Model Imitating Predictive Coding in Human Brain—0
Confidence intervals for class prevalences under prior probability shift—0
Confidence Calibration for Systems with Cascaded Predictive Modules—0
Assessment of Prediction Intervals Using Uncertainty Characteristics Curves—0
Conformal Prediction with Cellwise Outliers: A Detect-then-Impute Approach—0
Conformal forecasting for surgical instrument trajectory—0
Conformal Prediction with Temporal Quantile Adjustments—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
Combining Prediction Intervals on Multi-Source Non-Disclosed Regression Datasets—0
Approaches for Uncertainty Quantification of AI-predicted Material Properties: A Comparison—0
CD-split and HPD-split: efficient conformal regions in high dimensions—0
Applying Regression Conformal Prediction with Nearest Neighbors to time series data—0
Adaptability of Computer Vision at the Tactical Edge: Addressing Environmental Uncertainty—0
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