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Prediction Intervals
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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.
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A Wireless Foundation Model for Multi-Task Prediction
On the relationship between prediction intervals, tests of sharp nulls and inference on realized treatment effects in settings with few treated units
LLM-Powered CPI Prediction Inference with Online Text Time Series
Diffusion-based Time Series Forecasting for Sewerage Systems
Individualised Counterfactual Examples Using Conformal Prediction Intervals
Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification
STACI: Spatio-Temporal Aleatoric Conformal Inference
MetaSTNet: Multimodal Meta-learning for Cellular Traffic Conformal Prediction
Unveil Sources of Uncertainty: Feature Contribution to Conformal Prediction Intervals
Extreme Conformal Prediction: Reliable Intervals for High-Impact Events
Conformal Prediction with Cellwise Outliers: A Detect-then-Impute Approach
A Minimax-MDP Framework with Future-imposed Conditions for Learning-augmented Problems
Model uncertainty quantification using feature confidence sets for outcome excursions
From predictions to confidence intervals: an empirical study of conformal prediction methods for in-context learning
Conformalized-KANs: Uncertainty Quantification with Coverage Guarantees for Kolmogorov-Arnold Networks (KANs) in Scientific Machine Learning
Adapting GT2-FLS for Uncertainty Quantification: A Blueprint Calibration Strategy
ConfEviSurrogate: A Conformalized Evidential Surrogate Model for Uncertainty Quantification
Online Selective Conformal Prediction: Errors and Solutions
NeuroSep-CP-LCB: A Deep Learning-based Contextual Multi-armed Bandit Algorithm with Uncertainty Quantification for Early Sepsis Prediction
Probabilistic Neural Networks (PNNs) with t-Distributed Outputs: Adaptive Prediction Intervals Beyond Gaussian Assumptions
Probabilistic Reasoning with LLMs for k-anonymity Estimation
Segmentation-Guided CT Synthesis with Pixel-Wise Conformal Uncertainty Bounds
Conformal Prediction with Upper and Lower Bound Models
Conformal forecasting for surgical instrument trajectory
Joint Registration and Conformal Prediction for Partially Observed Functional Data
Conformal Prediction under Levy-Prokhorov Distribution Shifts: Robustness to Local and Global Perturbations
Generalized Venn and Venn-Abers Calibration with Applications in Conformal Prediction
Conformal Prediction for Electricity Price Forecasting in the Day-Ahead and Real-Time Balancing Market
Uncertainty Quantification of Wind Gust Predictions in the Northeast US: An Evidential Neural Network and Explainable Artificial Intelligence Approach
Data-Driven vs Traditional Approaches to Power Transformer's Top-Oil Temperature Estimation
coverforest: Conformal Predictions with Random Forest in Python
Conformal Inference of Individual Treatment Effects Using Conditional Density Estimates
Prediction Interval Construction Method for Electricity Prices
Uncertainty-Aware Online Extrinsic Calibration: A Conformal Prediction Approach
Uncertainty Estimation for Path Loss and Radio Metric Models
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