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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 151–200 of 309 papers

TitleStatusHype
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
Spatial Conformal Inference through Localized Quantile Regression—0
Uncertainty Quantification Techniques for Space Weather Modeling: Thermospheric Density Application—0
Unveil Sources of Uncertainty: Feature Contribution to Conformal Prediction Intervals—0
Stability of Random Forests and Coverage of Random-Forest Prediction Intervals—0
How to Evaluate Uncertainty Estimates in Machine Learning for Regression?—0
A Temporal Fusion Transformer for Long-term Explainable Prediction of Emergency Department Overcrowding—0
Improved conformalized quantile regression—0
Assessment of Prediction Intervals Using Uncertainty Characteristics Curves—0
Approximation to Object Conditional Validity with Inductive Conformal Predictors—0
STACI: Spatio-Temporal Aleatoric Conformal Inference—0
Individualised Counterfactual Examples Using Conformal Prediction Intervals—0
Inductive Conformal Prediction under Data Scarcity: Exploring the Impacts of Nonconformity Measures—0
Statistical Verification of Autonomous Systems using Surrogate Models and Conformal Inference—0
Statistics and Deep Learning-based Hybrid Model for Interpretable Anomaly Detection—0
Urban Traffic Forecasting with Integrated Travel Time and Data Availability in a Conformal Graph Neural Network Framework—0
Using neural ordinary differential equations to predict complex ecological dynamics from population density data—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
Lightweight, Uncertainty-Aware Conformalized Visual Odometry—0
UTOPIA: Universally Trainable Optimal Prediction Intervals Aggregation—0
Local Gaussian process extrapolation for BART models with applications to causal inference—0
Tolerance and Prediction Intervals for Non-normal Models—0
Machine learning for recovery factor estimation of an oil reservoir: a tool for de-risking at a hydrocarbon asset evaluation—0
Marginalised Spectral Mixture Kernels with Nested Sampling—0
Wasserstein Generative Regression—0
Meta-Analysis with Untrusted Data—0
MetaSTNet: Multimodal Meta-learning for Cellular Traffic Conformal Prediction—0
A Nonparametric Approach with Marginals for Modeling Consumer Choice—0
Modeling and Uncertainty Analysis of Groundwater Level Using Six Evolutionary Optimization Algorithms Hybridized with ANFIS, SVM, and ANN—0
Modelling Periodic Measurement Data Having a Piecewise Polynomial Trend Using the Method of Variable Projection—0
The WayHome: Long-term Motion Prediction on Dynamically Scaled—0
Ensembled Prediction Intervals for Causal Outcomes Under Hidden Confounding—0
Moment Multicalibration for Uncertainty Estimation—0
Approaches for Uncertainty Quantification of AI-predicted Material Properties: A Comparison—0
Multi-Scale Kinetics Modeling for Cell Culture Process with Metabolic State Transition—0
Tight Prediction Intervals Using Expanded Interval Minimization—0
Multivariate Anomaly Detection based on Prediction Intervals Constructed using Deep Learning—0
Applying Regression Conformal Prediction with Nearest Neighbors to time series data—0
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