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quantile regression

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TitleStatusHype
Extreme Conformal Prediction: Reliable Intervals for High-Impact Events—0
Fair quantile regression—0
bqror: An R package for Bayesian Quantile Regression in Ordinal Models—0
Fast Algorithms for Quantile Regression with Selection—0
Fast Inference for Quantile Regression with Tens of Millions of Observations—0
fastkqr: A Fast Algorithm for Kernel Quantile Regression—0
Density-Calibrated Conformal Quantile Regression—0
Federated Empirical Risk Minimization via Second-Order Method—0
Federated Smoothing Proximal Gradient for Quantile Regression with Non-Convex Penalties—0
Deep Reinforcement Learning with Decorrelation—0
Flusion: Integrating multiple data sources for accurate influenza predictions—0
Forecasting VaR and ES using a joint quantile regression and implications in portfolio allocation—0
Forecasting With Factor-Augmented Quantile Autoregressions: A Model Averaging Approach—0
Forest-based methods and ensemble model output statistics for rainfall ensemble forecasting—0
A Long-term Dependent and Trustworthy Approach to Reactor Accident Prognosis based on Temporal Fusion Transformer—0
Functional-Coefficient Quantile Regression for Panel Data with Latent Group Structure—0
Fused LASSO as Non-Crossing Quantile Regression—0
Bootstrap inference for panel data quantile regression—0
Quantile Regression using Random Forest Proximities—0
A Panel Quantile Approach to Attrition Bias in Big Data: Evidence from a Randomized Experiment—0
Generalized Quantile Loss for Deep Neural Networks—0
A first-stage representation for instrumental variables quantile regression—0
Global Censored Quantile Random Forest—0
Group-Conditional Conformal Prediction via Quantile Regression Calibration for Crop and Weed Classification—0
Heart Rate and Body Temperature Relationship in Children Admitted to PICU -- A Machine Learning Approach—0
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