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quantile regression

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TitleStatusHype
Predicting Value at Risk for Cryptocurrencies With Generalized Random Forests—0
Physics-Informed Deep Monte Carlo Quantile Regression method for Interval Multilevel Bayesian Network-based Satellite Heat Reliability Analysis—0
Deep Monte Carlo Quantile Regression for Quantifying Aleatoric Uncertainty in Physics-informed Temperature Field ReconstructionCode0
Tail Risk of Electricity Futures—0
Deep Non-Crossing Quantiles through the Partial Derivative—0
Non-Asymptotic Guarantees for Robust Statistical Learning under Infinite Variance Assumption—0
Bayesian Approaches to Shrinkage and Sparse EstimationCode0
Quantile Regression under Limited Dependent Variable—0
Neural Multi-Quantile Forecasting for Optimal Inventory Management—0
U.S. Long-Term Earnings Outcomes by Sex, Race, Ethnicity, and Place of Birth—0
A decomposition method to evaluate the `paradox of progress' with evidence for Argentina—0
RMIX: Learning Risk-Sensitive Policies forCooperative Reinforcement Learning Agents—0
Probabilistic Forecasting: A Level-Set Approach—0
Dynamic Network Quantile Regression ModelCode0
Learning Quantile Functions without Quantile Crossing for Distribution-free Time Series Forecasting—0
Solution to the Non-Monotonicity and Crossing Problems in Quantile Regression—0
Bootstrap inference for panel data quantile regression—0
Risk and return prediction for pricing portfolios of non-performing consumer credit—0
Communication-Constrained Distributed Quantile Regression with Optimal Statistical Guarantees—0
Uncertainty Quantification in LV State Estimation Under High Shares of Flexible Resources—0
A Cramér Distance perspective on Quantile Regression based Distributional Reinforcement LearningCode0
Disentangling Sources of Risk for Distributional Multi-Agent Reinforcement Learning—0
Conditional Generative Quantile Networks via Optimal Transport and Convex Potentials—0
bqror: An R package for Bayesian Quantile Regression in Ordinal Models—0
Deep Quantile Regression for Uncertainty Estimation in Unsupervised and Supervised Lesion DetectionCode0
The Use of Quantile Methods in Economic History—0
Quantifying Uncertainty for Machine Learning Based Diagnostic—0
Inference for High Dimensional Censored Quantile RegressionCode0
Distributional Effects with Two-Sided Measurement Error: An Application to Intergenerational Income Mobility—0
Decoupling Shrinkage and Selection for the Bayesian Quantile Regression—0
An Uncertainty-Aware, Shareable and Transparent Neural Network Architecture for Brain-Age ModelingCode0
The unreasonable effectiveness of optimal transport in economics—0
Machine learning methods for postprocessing ensemble forecasts of wind gusts: A systematic comparisonCode0
Forecasting VaR and ES using a joint quantile regression and implications in portfolio allocation—0
Understanding the Under-Coverage Bias in Uncertainty Estimation—0
Can a single neuron learn predictive uncertainty?Code0
Deep learning-based multi-output quantile forecasting of PV generation—0
A Tale of Two Tails: A Model-free Approach to Estimating Disaster Risk Premia and Testing Asset Pricing Models—0
In the Danger Zone: U-Net Driven Quantile Regression can Predict High-risk SARS-CoV-2 Regions via Pollutant Particulate Matter and Satellite Imagery—0
Probabilistic water demand forecasting using quantile regression algorithms—0
Short-term bus travel time prediction for transfer synchronization with intelligent uncertainty handling—0
Modeling Censored Mobility Demand through Quantile Regression Neural Networks—0
Panel semiparametric quantile regression neural network for electricity consumption forecasting—0
Vector quantile regression and optimal transport, from theory to numerics—0
RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents—0
Estimation and Applications of Quantiles in Deep Binary ClassificationCode0
Regularization Strategies for Quantile Regression—0
A Learning-based Stochastic Driving Model for Autonomous Vehicle Testing—0
A first-stage representation for instrumental variables quantile regression—0
Predictive Quantile Regression with Mixed Roots and Increasing Dimensions: The ALQR Approach—0
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