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quantile regression

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TitleStatusHype
Distributional neural networks for electricity price forecasting—0
Distributional Reinforcement Learning for mmWave Communications with Intelligent Reflectors on a UAV—0
Distributional Reinforcement Learning with Dual Expectile-Quantile Regression—0
Distributional synthetic controls—0
Distribution-Free Finite-Sample Guarantees and Split Conformal Prediction—0
Does green innovation crowd out other innovation of firms? Based on the extended CDM model and unconditional quantile regressions—0
Dynamic Discrete-Continuous Choice Models: Identification and Conditional Choice Probability Estimation—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
Enhanced prediction accuracy with uncertainty quantification in monitoring CO2 sequestration using convolutional neural networks—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
Ensemble Method for Censored Demand Prediction—0
Estimation and Applications of Quantile Regression for Binary Longitudinal Data—0
Quantile Random-Coefficient Regression with Interactive Fixed Effects: Heterogeneous Group-Level Policy Evaluation—0
Estimation of Non-Crossing Quantile Regression Process with Deep ReQU Neural Networks—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
Exploring Financial Networks Using Quantile Regression and Granger Causality—0
Exponentially-Modified Gaussian Mixture Model: Applications in Spectroscopy—0
Extending Deep Learning Models for Limit Order Books to Quantile Regression—0
Extreme Conformal Prediction: Reliable Intervals for High-Impact Events—0
Fair quantile regression—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
Federated Empirical Risk Minimization via Second-Order Method—0
Federated Smoothing Proximal Gradient for Quantile Regression with Non-Convex Penalties—0
Flexible Bayesian Quantile Analysis of Residential Rental Rates—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
Functional-Coefficient Quantile Regression for Panel Data with Latent Group Structure—0
Fused LASSO as Non-Crossing Quantile Regression—0
Generalized Quantile Loss for Deep Neural Networks—0
Generative Distribution Prediction: A Unified Approach to Multimodal Learning—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
Heterogeneous Image-based Classification Using Distributional Data Analysis—0
High Dimensional Latent Panel Quantile Regression with an Application to Asset Pricing—0
High-dimensional Measurement Error Models for Lipschitz Loss—0
High-Dimensional Structured Quantile Regression—0
High-frequency Density Nowcasts of U.S. State-Level Carbon Dioxide Emissions—0
Horseshoe Prior Bayesian Quantile Regression—0
Hybrid Censored Quantile Regression Forest to Assess the Heterogeneous Effects—0
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