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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
Constructing Prediction Intervals with Neural Networks: An Empirical Evaluation of Bootstrapping and Conformal Inference MethodsCode0
Split Localized Conformal PredictionCode0
On the good reliability of an interval-based metric to validate prediction uncertainty for machine learning regression tasksCode0
Fundus Image-based Visual Acuity Assessment with PAC-GuaranteesCode0
Conformalized Survival AnalysisCode0
Multi-Source Conformal Inference Under Distribution ShiftCode0
Model uncertainty quantification using feature confidence sets for outcome excursionsCode0
Metric-Guided Conformal Bounds for Probabilistic Image ReconstructionCode0
Model-Robust Counterfactual Prediction MethodCode0
On the Role of Surrogates in Conformal Inference of Individual Causal EffectsCode0
Conformalized Interval Arithmetic with Symmetric CalibrationCode0
Fast Nonparametric Conditional Density EstimationCode0
LLM-Powered CPI Prediction Inference with Online Text Time SeriesCode0
Informativeness of Weighted Conformal PredictionCode0
Conformalized Deep Splines for Optimal and Efficient Prediction SetsCode0
Inference on Extreme Quantiles of Unobserved Individual HeterogeneityCode0
Integrating Uncertainty Awareness into Conformalized Quantile RegressionCode0
Distributional conformal predictionCode0
High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled ApproachCode0
Estimation and Applications of Quantiles in Deep Binary ClassificationCode0
A Unified Framework for Random Forest Prediction Error EstimationCode0
Distribution-Free Predictive Inference For RegressionCode0
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
Efficient and Differentiable Conformal Prediction with General Function ClassesCode0
Improving Trustworthiness of AI Disease Severity Rating in Medical Imaging with Ordinal Conformal Prediction SetsCode0
Marginally calibrated response distributions for end-to-end learning in autonomous drivingCode0
On training locally adaptive CPCode0
Enhancing reliability in prediction intervals using point forecasters: Heteroscedastic Quantile Regression and Width-Adaptive Conformal InferenceCode0
Relaxed Quantile Regression: Prediction Intervals for Asymmetric NoiseCode0
Efficiency of conformalized ridge regression—0
Conformal forecasting for surgical instrument trajectory—0
DST-TransitNet: A Dynamic Spatio-Temporal Deep Learning Model for Scalable and Efficient Network-Wide Prediction of Station-Level Transit Ridership—0
A Temporal Fusion Transformer for Long-term Explainable Prediction of Emergency Department Overcrowding—0
Distribution-free risk assessment of regression-based machine learning algorithms—0
Distribution-Driven Disjoint Prediction Intervals for Deep Learning—0
A Distribution Adaptive Framework for Prediction Interval Estimation Using Nominal Variables—0
Disease Momentum: Estimating the Reproduction Number in the Presence of Superspreading—0
Discriminative Learning of Prediction Intervals—0
Diffusion-based Time Series Forecasting for Sewerage Systems—0
Confidence-Nets: A Step Towards better Prediction Intervals for regression Neural Networks on small datasets—0
Development and Evaluation of Conformal Prediction Methods for QSAR—0
Confidence intervals for class prevalences under prior probability shift—0
Density-Calibrated Conformal Quantile Regression—0
Denoising ESG: quantifying data uncertainty from missing data with Machine Learning and prediction intervals—0
Confidence Calibration for Systems with Cascaded Predictive Modules—0
Assessment of Prediction Intervals Using Uncertainty Characteristics Curves—0
A Deep Generative Model Imitating Predictive Coding in Human Brain—0
Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification—0
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