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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 201–250 of 309 papers

TitleStatusHype
Enhancing Conformal Prediction Using E-Test Statistics—0
Enhancing Interval Type-2 Fuzzy Logic Systems: Learning for Precision and Prediction Intervals—0
Evaluating Machine Translation Quality with Conformal Predictive Distributions—0
Explainable boosted linear regression for time series forecasting—0
Exploring Uncertainty in Deep Learning for Construction of Prediction Intervals—0
Extrapolation to complete basis-set limit in density-functional theory by quantile random-forest models—0
Extreme Conformal Prediction: Reliable Intervals for High-Impact Events—0
Failures and Successes of Cross-Validation for Early-Stopped Gradient Descent—0
Forecast with Forecasts: Diversity Matters—0
Foundation models for time series forecasting: Application in conformal prediction—0
From Conformal Predictions to Confidence Regions—0
From predictions to confidence intervals: an empirical study of conformal prediction methods for in-context learning—0
Gaussian process interpolation with conformal prediction: methods and comparative analysis—0
Generalized Venn and Venn-Abers Calibration with Applications in Conformal Prediction—0
Guaranteed Coverage Prediction Intervals with Gaussian Process Regression—0
How to Evaluate Uncertainty Estimates in Machine Learning for Regression?—0
Improved conformalized quantile regression—0
Individualised Counterfactual Examples Using Conformal Prediction Intervals—0
Inductive Conformal Prediction under Data Scarcity: Exploring the Impacts of Nonconformity Measures—0
Interpretable Battery Cycle Life Range Prediction Using Early Degradation Data at Cell Level—0
Interpretable Machines: Constructing Valid Prediction Intervals with Random Forests—0
Interval Load Forecasting for Individual Households in the Presence of Electric Vehicle Charging—0
Joint Prediction Regions for time-series models—0
Joint Registration and Conformal Prediction for Partially Observed Functional Data—0
Kernel-based Optimally Weighted Conformal Prediction Intervals—0
Learn-By-Calibrating: Using Calibration as a Training Objective—0
Learning Prediction Intervals for Model Performance—0
Learning Prediction Intervals for Regression: Generalization and Calibration—0
Lifted Coefficient of Determination: Fast model-free prediction intervals and likelihood-free model comparison—0
Light Gradient Boosting Machine as a Regression Method for Quantitative Structure-Activity Relationships—0
Constructing Prediction Intervals with Neural Networks: An Empirical Evaluation of Bootstrapping and Conformal Inference MethodsCode0
Metric-Guided Conformal Bounds for Probabilistic Image ReconstructionCode0
Uncertainty Estimation for Path Loss and Radio Metric ModelsCode0
Design-based conformal predictionCode0
Simultaneous Prediction Intervals for Patient-Specific Survival CurvesCode0
Model-Robust Counterfactual Prediction MethodCode0
Model uncertainty quantification using feature confidence sets for outcome excursionsCode0
Smooth Pinball Neural Network for Probabilistic Forecasting of Wind PowerCode0
Distributional conformal predictionCode0
Conformal time series decomposition with component-wise exchangeabilityCode0
Conformalized Quantile RegressionCode0
Distribution-Free Predictive Inference For RegressionCode0
Uncertainty Quantification of the Virial Black Hole Mass with Conformal PredictionCode0
Multi-Source Conformal Inference Under Distribution ShiftCode0
Conformal Quantitative Predictive Monitoring of STL Requirements for Stochastic ProcessesCode0
Asymptotically free sketched ridge ensembles: Risks, cross-validation, and tuningCode0
Efficient and Differentiable Conformal Prediction with General Function ClassesCode0
Conformalized Interval Arithmetic with Symmetric CalibrationCode0
UncertaintyPlayground: A Fast and Simplified Python Library for Uncertainty EstimationCode0
Conformalized Fairness via Quantile RegressionCode0
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