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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 101–150 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
Conformal Prediction for Dose-Response Models with Continuous TreatmentsCode0
Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCTCode0
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
Enhancing reliability in prediction intervals using point forecasters: Heteroscedastic Quantile Regression and Width-Adaptive Conformal InferenceCode0
Relaxed Quantile Regression: Prediction Intervals for Asymmetric NoiseCode0
Normalizing Flows for Conformal RegressionCode0
Task-Driven Uncertainty Quantification in Inverse Problems via Conformal PredictionCode0
SEMF: Supervised Expectation-Maximization Framework for Predicting IntervalsCode0
From Conformal Predictions to Confidence Regions—0
Data-Driven Personalized Energy Consumption Range Estimation for Plug-in Hybrid Electric Vehicles in Urban Traffic—0
Kernel-based Optimally Weighted Conformal Prediction Intervals—0
Optimal Aggregation of Prediction Intervals under Unsupervised Domain ShiftCode0
Multi-Source Conformal Inference Under Distribution ShiftCode0
Scalable Subsampling Inference for Deep Neural Networks—0
Joint Prediction Regions for time-series models—0
Informativeness of Weighted Conformal PredictionCode0
Reliable Interval Prediction of Minimum Operating Voltage Based on On-chip Monitors via Conformalized Quantile Regression—0
Pseudo-Observations and Super Learner for the Estimation of the Restricted Mean Survival Time—0
Metric-Guided Conformal Bounds for Probabilistic Image ReconstructionCode0
Enhancing Interval Type-2 Fuzzy Logic Systems: Learning for Precision and Prediction Intervals—0
Zadeh's Type-2 Fuzzy Logic Systems: Precision and High-Quality Prediction Intervals—0
Unveiling Nonlinear Dynamics in Catastrophe Bond Pricing: A Machine Learning Perspective—0
Enhancing Conformal Prediction Using E-Test Statistics—0
Selecting informative conformal prediction sets with false coverage rate control—0
CAP: A General Algorithm for Online Selective Conformal Prediction with FCR Control—0
Confidence on the Focal: Conformal Prediction with Selection-Conditional CoverageCode0
Sparse Variational Contaminated Noise Gaussian Process Regression with Applications in Geomagnetic Perturbations Forecasting—0
Failures and Successes of Cross-Validation for Early-Stopped Gradient Descent—0
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