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quantile regression

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TitleStatusHype
The impact of external uncertainties on the extreme return connectedness between food, fossil energy, and clean energy markets—0
On the Importance of Clearsky Model in Short-Term Solar Radiation Forecasting—0
Conformal forecasting for surgical instrument trajectory—0
Minimum Distance Estimation of Quantile Panel Data Models—0
On Quantile Regression Forests for Modelling Mixed-Frequency and Longitudinal Data—0
Rectifying Conformity Scores for Better Conditional Coverage—0
biastest: Testing parameter equality across different models in Stata—0
Multi-Layer Deep xVA: Structural Credit Models, Measure Changes and Convergence Analysis—0
Likelihood-Ratio Regularized Quantile Regression: Adapting Conformal Prediction to High-Dimensional Covariate Shifts—0
Imputation Strategies for Rightcensored Wages in Longitudinal Datasets—0
A Pathwise Coordinate Descent Algorithm for LASSO Penalized Quantile Regression—0
Self-Normalized Inference in (Quantile, Expected Shortfall) Regressions for Time Series—0
Relational Conformal Prediction for Correlated Time Series—0
Generative Distribution Prediction: A Unified Approach to Multimodal Learning—0
Epistemic Uncertainty in Conformal Scores: A Unified ApproachCode0
Conformal Prediction for Electricity Price Forecasting in the Day-Ahead and Real-Time Balancing Market—0
Sequential Multi-objective Multi-agent Reinforcement Learning Approach for Predictive Maintenance—0
nabqr: Python package for improving probabilistic forecasts—0
Will artificial intelligence accelerate or delay the race between nuclear energy technology budgeting and net-zero emissions?—0
Data-Driven vs Traditional Approaches to Power Transformer's Top-Oil Temperature Estimation—0
One Model to Forecast Them All and in Entity Distributions Bind ThemCode0
Conformal Inference of Individual Treatment Effects Using Conditional Density Estimates—0
Distributed Conformal Prediction via Message PassingCode0
Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning—0
Enhanced Quantile Regression with Spiking Neural Networks for Long-Term System Health Prognostics—0
Risk-averse policies for natural gas futures trading using distributional reinforcement learning—0
High-frequency Density Nowcasts of U.S. State-Level Carbon Dioxide Emissions—0
Uncertainty separation via ensemble quantile regression—0
Convolution Mode Regression—0
Spatial Conformal Inference through Localized Quantile Regression—0
Transfer Learning for High-dimensional Quantile Regression with Distribution Shift—0
Density-Calibrated Conformal Quantile Regression—0
Spatiotemporal Density Correction of Multivariate Global Climate Model Projections using Deep Learning—0
Quantile deep learning models for multi-step ahead time series predictionCode0
Conformalized High-Density Quantile Regression via Dynamic Prototypes-based Probability Density EstimationCode0
Coherent Hierarchical Probabilistic Forecasting of Electric Vehicle Charging Demand—0
Predictive Quantile Regression with High-Dimensional Predictors: The Variable Screening Approach—0
Bin-Conditional Conformal Prediction of Fatalities from Armed Conflict—0
Global Censored Quantile Random Forest—0
Generalized Distribution Prediction for Asset ReturnsCode0
Deep and Probabilistic Solar Irradiance Forecast at the Arctic Circle—0
Bayesian Binary Search—0
Order of Magnitude Speedups for LLM Membership Inference—0
Robust Bond Risk Premia Predictability Test in the Quantiles—0
Quantile Regression for Distributional Reward Models in RLHFCode0
A sparse PAC-Bayesian approach for high-dimensional quantile prediction—0
Optimal Kernel Quantile Learning with Random Features—0
EX-DRL: Hedging Against Heavy Losses with EXtreme Distributional Reinforcement LearningCode0
Enhancing Causal Discovery in Financial Networks with Piecewise Quantile Regression—0
Magazine Supply Optimization: a Case-study—0
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