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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 51–100 of 309 papers

TitleStatusHype
Curating a COVID-19 data repository and forecasting county-level death counts in the United StatesCode1
Bayesian Optimization with Conformal Prediction SetsCode1
On training locally adaptive CPCode0
Asymptotically free sketched ridge ensembles: Risks, cross-validation, and tuningCode0
Optimal Adaptive Prediction Intervals for Electricity Load Forecasting in Distribution Systems via Reinforcement LearningCode0
Confidence on the Focal: Conformal Prediction with Selection-Conditional CoverageCode0
Normalizing Flows for Conformal RegressionCode0
Adapting GT2-FLS for Uncertainty Quantification: A Blueprint Calibration StrategyCode0
Confident Neural Network Regression with Bootstrapped Deep EnsemblesCode0
NeuroSep-CP-LCB: A Deep Learning-based Contextual Multi-armed Bandit Algorithm with Uncertainty Quantification for Early Sepsis PredictionCode0
On the good reliability of an interval-based metric to validate prediction uncertainty for machine learning regression tasksCode0
On the Role of Surrogates in Conformal Inference of Individual Causal EffectsCode0
Optimal Aggregation of Prediction Intervals under Unsupervised Domain ShiftCode0
Model uncertainty quantification using feature confidence sets for outcome excursionsCode0
Metric-Guided Conformal Bounds for Probabilistic Image ReconstructionCode0
A comparison of some conformal quantile regression methodsCode0
Model-Robust Counterfactual Prediction MethodCode0
Multi-Source Conformal Inference Under Distribution ShiftCode0
LLM-Powered CPI Prediction Inference with Online Text Time SeriesCode0
Informativeness of Weighted Conformal PredictionCode0
Integrating Uncertainty Awareness into Conformalized Quantile RegressionCode0
Inference on Extreme Quantiles of Unobserved Individual HeterogeneityCode0
Improving Trustworthiness of AI Disease Severity Rating in Medical Imaging with Ordinal Conformal Prediction SetsCode0
Inference on the Sharpe ratio via the upsilon distributionCode0
Marginally calibrated response distributions for end-to-end learning in autonomous drivingCode0
Perturbation-Assisted Sample Synthesis: A Novel Approach for Uncertainty QuantificationCode0
Quantifying predictive uncertainty of aphasia severity in stroke patients with sparse heteroscedastic Bayesian high-dimensional regressionCode0
HDI-Forest: Highest Density Interval Regression ForestCode0
Conditional validity of heteroskedastic conformal regressionCode0
Can a single neuron learn predictive uncertainty?Code0
Adaptive Skip Intervals: Temporal Abstraction for Recurrent Dynamical ModelsCode0
Single-Model Uncertainties for Deep LearningCode0
High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled ApproachCode0
Calibrated Prediction Intervals for Neural Network RegressorsCode0
fETSmcs: Feature-based ETS model component selectionCode0
Building Conformal Prediction Intervals with Approximate Message PassingCode0
Fast Nonparametric Conditional Density EstimationCode0
Conformal Prediction for Multimodal RegressionCode0
Conformal Prediction Intervals with Temporal DependenceCode0
Boosting Random Forests to Reduce Bias; One-Step Boosted Forest and its Variance EstimateCode0
Fundus Image-based Visual Acuity Assessment with PAC-GuaranteesCode0
Conformal Prediction under Levy-Prokhorov Distribution Shifts: Robustness to Local and Global PerturbationsCode0
Conformal prediction for frequency-severity modelingCode0
Probabilistic AutoRegressive Neural Networks for Accurate Long-range ForecastingCode0
Estimation and Applications of Quantiles in Deep Binary ClassificationCode0
Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCTCode0
Conformal Prediction for Dose-Response Models with Continuous TreatmentsCode0
Conformal Quantitative Predictive Monitoring of STL Requirements for Stochastic ProcessesCode0
Conformal Prediction for Causal Effects of Continuous TreatmentsCode0
Distribution-Free Predictive Inference For RegressionCode0
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