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quantile regression

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TitleStatusHype
Postprocessing of point predictions for probabilistic forecasting of day-ahead electricity prices: The benefits of using isotonic distributional regression—0
Fused LASSO as Non-Crossing Quantile Regression—0
Ensemble learning for predictive uncertainty estimation with application to the correction of satellite precipitation products—0
Adaptive Bounding Box Uncertainties via Two-Step Conformal PredictionCode1
Heterogeneous Image-based Classification Using Distributional Data Analysis—0
Fast Algorithms for Quantile Regression with Selection—0
Conservative and Risk-Aware Offline Multi-Agent Reinforcement LearningCode0
Echoes of Socratic Doubt: Embracing Uncertainty in Calibrated Evidential Reinforcement LearningCode0
Multiple Yield Curve Modeling and Forecasting using Deep Learning—0
Does green innovation crowd out other innovation of firms? Based on the extended CDM model and unconditional quantile regressions—0
Local Identification in Instrumental Variable Multivariate Quantile Regression Models—0
Simulation-Based Inference with Quantile RegressionCode0
Beyond mirkwood: Enhancing SED Modeling with Conformal Predictions—0
Membership Inference Attacks on Diffusion Models via Quantile Regression—0
Deep Ensembles Meets Quantile Regression: Uncertainty-aware Imputation for Time Series—0
Learning to Simulate: Generative Metamodeling via Quantile Regression—0
Uncertainty estimation of machine learning spatial precipitation predictions from satellite data—0
A probabilistic forecast methodology for volatile electricity prices in the Australian National Electricity Market—0
Use of Deep Neural Networks for Uncertain Stress Functions with Extensions to Impact Mechanics—0
Bayesian Quantile Regression with Subset Selection: A Decision Analysis Perspective—0
Exploring a new machine learning based probabilistic model for high-resolution indoor radon mapping, using the German indoor radon survey data—0
Smoothed instrumental variables quantile regression—0
Towards a Unified Analysis of Kernel-based Methods Under Covariate ShiftCode0
Probabilistic Load Forecasting of Distribution Power Systems based on Empirical Copulas—0
Investigating Speed Deviation Patterns During Glucose Episodes: A Quantile Regression Approach—0
Impact of Economic Uncertainty, Geopolitical Risk, Pandemic, Financial & Macroeconomic Factors on Crude Oil Returns -- An Empirical Investigation—0
Econometric Model Using Arbitrage Pricing Theory and Quantile Regression to Estimate the Risk Factors Driving Crude Oil Returns—0
Beta quantile regression for robust estimation of uncertainty in the presence of outliers—0
Instrumental variable estimation of the proportional hazards model by presmoothing—0
Smoothing ADMM for Sparse-Penalized Quantile Regression with Non-Convex Penalties—0
Group-Conditional Conformal Prediction via Quantile Regression Calibration for Crop and Weed Classification—0
The Impact of Stocks on Correlations between Crop Yields and Prices and on Revenue Insurance Premiums using Semiparametric Quantile Regression—0
Deep Evidential Learning for Bayesian Quantile Regression—0
Value-Distributional Model-Based Reinforcement LearningCode0
Varying-coefficients for regional quantile via KNN-based LASSO with applications to health outcome studyCode0
Causal Fair Machine Learning via Rank-Preserving Interventional DistributionsCode0
Efficient Strongly Polynomial Algorithms for Quantile Regression—0
Uncertainty Quantification of the Virial Black Hole Mass with Conformal PredictionCode0
Scalable Membership Inference Attacks via Quantile Regression—0
Engression: Extrapolation through the Lens of Distributional RegressionCode1
Vector Quantile Regression on ManifoldsCode0
UTOPIA: Universally Trainable Optimal Prediction Intervals Aggregation—0
Deep Huber quantile regression networks—0
Modelling and Forecasting Macroeconomic Risk with Time Varying Skewness Stochastic Volatility Models—0
Integrating Uncertainty Awareness into Conformalized Quantile RegressionCode0
Advancing Counterfactual Inference through Nonlinear Quantile Regression—0
Monte Carlo inference for semiparametric Bayesian regression—0
Conformal Prediction for Federated Uncertainty Quantification Under Label Shift—0
Conformal Prediction with Missing ValuesCode1
Improving the generalizability and robustness of large-scale traffic signal control—0
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