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

Title	Date	Tasks	Status	Hype	Score
Ensemble Conformalized Quantile Regression for Probabilistic Time Series Forecasting	Feb 17, 2022	Conformal PredictionPrediction Intervals	CodeCode Available	1	5
Multivariate Prediction Intervals for Random Forests	May 4, 2022	PredictionPrediction Intervals	CodeCode Available	1	5
Quantifying predictive uncertainty of aphasia severity in stroke patients with sparse heteroscedastic Bayesian high-dimensional regression	Sep 15, 2023	Prediction Intervalsregression	CodeCode Available	0	5
Asymptotically free sketched ridge ensembles: Risks, cross-validation, and tuning	Oct 6, 2023	PredictionPrediction Intervals	CodeCode Available	0	5
Conditional validity of heteroskedastic conformal regression	Sep 15, 2023	Conformal PredictionPrediction	CodeCode Available	0	5
Confidence on the Focal: Conformal Prediction with Selection-Conditional Coverage	Mar 6, 2024	Conformal PredictionDrug Discovery	CodeCode Available	0	5
Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCT	Sep 30, 2024	Prediction IntervalsSurvival Analysis	CodeCode Available	0	5
Adapting GT2-FLS for Uncertainty Quantification: A Blueprint Calibration Strategy	Apr 9, 2025	Computational EfficiencyPrediction Intervals	CodeCode Available	0	5
Confident Neural Network Regression with Bootstrapped Deep Ensembles	Feb 22, 2022	Prediction Intervalsregression	CodeCode Available	0	5
Single-Model Uncertainties for Deep Learning	Nov 2, 2018	Deep Learningmodel	CodeCode Available	0	5
Fundus Image-based Visual Acuity Assessment with PAC-Guarantees	Dec 9, 2024	Conformal PredictionPrediction	CodeCode Available	0	5
HDI-Forest: Highest Density Interval Regression Forest	May 24, 2019	Prediction Intervalsregression	CodeCode Available	0	5
High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach	Feb 20, 2018	FormPrediction Intervals	CodeCode Available	0	5
Estimation and Applications of Quantiles in Deep Binary Classification	Feb 9, 2021	Binary ClassificationClassification	CodeCode Available	0	5
Fast Nonparametric Conditional Density Estimation	Jun 20, 2012	Density EstimationPrediction Intervals	CodeCode Available	0	5
Enhancing reliability in prediction intervals using point forecasters: Heteroscedastic Quantile Regression and Width-Adaptive Conformal Inference	Jun 21, 2024	PredictionPrediction Intervals	CodeCode Available	0	5
A comparison of some conformal quantile regression methods	Sep 12, 2019	PredictionPrediction Intervals	CodeCode Available	0	5
fETSmcs: Feature-based ETS model component selection	Jun 26, 2022	modelModel Selection	CodeCode Available	0	5
Distribution-Free Predictive Inference For Regression	Apr 14, 2016	Computational EfficiencyPrediction	CodeCode Available	0	5
Distributional conformal prediction	Sep 17, 2019	Conformal Predictioncounterfactual	CodeCode Available	0	5
Efficient and Differentiable Conformal Prediction with General Function Classes	Feb 22, 2022	Conformal Predictionimage-classification	CodeCode Available	0	5
Can a single neuron learn predictive uncertainty?	Jun 7, 2021	BenchmarkingConformal Prediction	CodeCode Available	0	5
Adaptive Skip Intervals: Temporal Abstraction for Recurrent Dynamical Models	Aug 14, 2018	Computational EfficiencyPrediction	CodeCode Available	0	5
Constructing Prediction Intervals with Neural Networks: An Empirical Evaluation of Bootstrapping and Conformal Inference Methods	Oct 7, 2022	Prediction Intervals	CodeCode Available	0	5
Calibrated Prediction Intervals for Neural Network Regressors	Mar 26, 2018	PredictionPrediction Intervals	CodeCode Available	0	5

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