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TitleStatusHype
Sparse Quantile Huber Regression for Efficient and Robust Estimation—0
Spatial Conformal Inference through Localized Quantile Regression—0
Specification Testing in Nonparametric Instrumental Quantile Regression—0
SPQR: An R Package for Semi-Parametric Density and Quantile Regression—0
Stacking for Probabilistic Short-term Load Forecasting—0
Statistical post-processing of wind speed forecasts using convolutional neural networks—0
Statistical Properties of the log-cosh Loss Function Used in Machine Learning—0
Strong oracle optimality of folded concave penalized estimation—0
Surrogate Ensemble Forecasting for Dynamic Climate Impact Models—0
Tail Risk of Electricity Futures—0
The Big Data Newsvendor: Practical Insights from Machine Learning—0
The impact of external uncertainties on the extreme return connectedness between food, fossil energy, and clean energy markets—0
The Impact of Stocks on Correlations between Crop Yields and Prices and on Revenue Insurance Premiums using Semiparametric Quantile Regression—0
The Nature of Temporal Difference Errors in Multi-step Distributional Reinforcement Learning—0
The unreasonable effectiveness of optimal transport in economics—0
The Use of Quantile Methods in Economic History—0
Time series quantile regression using random forests—0
Toward Risk-based Optimistic Exploration for Cooperative Multi-Agent Reinforcement Learning—0
Towards Deep Learning for Predicting Microbial Fuel Cell Energy Output—0
Transfer Learning for High-dimensional Quantile Regression with Distribution Shift—0
Estimation and inference for transfer learning with high-dimensional quantile regression—0
Transformation Forests—0
Twin support vector quantile regression—0
Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning—0
Combinations of distributional regression algorithms with application in uncertainty estimation of corrected satellite precipitation products—0
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