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quantile regression

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TitleStatusHype
Disentangling Sources of Risk for Distributional Multi-Agent Reinforcement Learning—0
Econometric Model Using Arbitrage Pricing Theory and Quantile Regression to Estimate the Risk Factors Driving Crude Oil Returns—0
Efficient Membership Inference Attacks by Bayesian Neural Network—0
Efficient Strongly Polynomial Algorithms for Quantile Regression—0
Building Coverage Estimation with Low-resolution Remote Sensing Imagery—0
A Pathwise Coordinate Descent Algorithm for LASSO Penalized Quantile Regression—0
Enhanced Quantile Regression with Spiking Neural Networks for Long-Term System Health Prognostics—0
Enhanced Route Planning with Calibrated Uncertainty Set—0
Enhancing Causal Discovery in Financial Networks with Piecewise Quantile Regression—0
Enhancing One-run Privacy Auditing with Quantile Regression-Based Membership Inference—0
Coherent Hierarchical Probabilistic Forecasting of Electric Vehicle Charging Demand—0
Horseshoe Prior Bayesian Quantile Regression—0
Ensemble Method for Censored Demand Prediction—0
Communication-Constrained Distributed Quantile Regression with Optimal Statistical Guarantees—0
Estimation and Applications of Quantile Regression for Binary Longitudinal Data—0
Comparison of statistical post-processing methods for probabilistic NWP forecasts of solar radiation—0
Hybrid quantile estimation for asymmetric power GARCH models—0
Differentiable Ranks and Sorting using Optimal Transport—0
Evaluating Pest Management Strategies: A Robust Method and its Application to Strawberry Disease Management—0
Ensemble quantile-based deep learning framework for streamflow and flood prediction in Australian catchments—0
Spatiotemporal Density Correction of Multivariate Global Climate Model Projections using Deep Learning—0
Exploring Financial Networks Using Quantile Regression and Granger Causality—0
Exponentially-Modified Gaussian Mixture Model: Applications in Spectroscopy—0
Conditional Generative Modeling for Enhanced Credit Risk Management in Supply Chain Finance—0
bqror: An R package for Bayesian Quantile Regression in Ordinal Models—0
Extreme Conformal Prediction: Reliable Intervals for High-Impact Events—0
Fair quantile regression—0
A Panel Quantile Approach to Attrition Bias in Big Data: Evidence from a Randomized Experiment—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
High Dimensional Latent Panel Quantile Regression with an Application to Asset Pricing—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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