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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
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
SEF: A Method for Computing Prediction Intervals by Shifting the Error Function in Neural Networks—0
Real-Time Energy Pricing in New Zealand: An Evolving Stream AnalysisCode0
On the good reliability of an interval-based metric to validate prediction uncertainty for machine learning regression tasksCode0
Conformalized Interval Arithmetic with Symmetric CalibrationCode0
Peaking into the Black-box: Prediction Intervals Give Insight into Data-driven Quadrotor Model Reliability—0
Quantile Regression using Random Forest Proximities—0
Denoising ESG: quantifying data uncertainty from missing data with Machine Learning and prediction intervals—0
Urban Traffic Forecasting with Integrated Travel Time and Data Availability in a Conformal Graph Neural Network Framework—0
Meta-Analysis with Untrusted Data—0
Subgroup-Specific Risk-Controlled Dose Estimation in RadiotherapyCode0
Gaussian process interpolation with conformal prediction: methods and comparative analysis—0
Split Conformal Prediction under Data ContaminationCode0
Conformal Prediction for Causal Effects of Continuous TreatmentsCode0
Conformal time series decomposition with component-wise exchangeabilityCode0
Uncertainty-enabled machine learning for emulation of regional sea-level change caused by the Antarctic Ice Sheet—0
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