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quantile regression

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TitleStatusHype
Conformal Prediction Interval Estimations with an Application to Day-Ahead and Intraday Power Markets—0
Conformal Prediction Intervals for Markov Decision Process Trajectories—0
Capital Structure in U.S., a Quantile Regression Approach with Macroeconomic Impacts—0
Distributional Reinforcement Learning for mmWave Communications with Intelligent Reflectors on a UAV—0
Conformal Regression in Calorie Prediction for Team Jumbo-Visma—0
Bayesian Mixed-Frequency Quantile Vector Autoregression: Eliciting tail risks of Monthly US GDP—0
Bayesian Multivariate Quantile Regression with alternative Time-varying Volatility Specifications—0
Convolution Mode Regression—0
Critical Decisions for Asset Allocation via Penalized Quantile Regression—0
Crop yield probability density forecasting via quantile random forest and Epanechnikov Kernel function—0
A probabilistic forecast methodology for volatile electricity prices in the Australian National Electricity Market—0
Data-Driven Personalized Energy Consumption Range Estimation for Plug-in Hybrid Electric Vehicles in Urban Traffic—0
Data-Driven vs Traditional Approaches to Power Transformer's Top-Oil Temperature Estimation—0
Debiased/Double Machine Learning for Instrumental Variable Quantile Regressions—0
Decentralization Estimators for Instrumental Variable Quantile Regression Models—0
Decomposition of Differences in Distribution under Sample Selection and the Gender Wage Gap—0
Decoupling Shrinkage and Selection for the Bayesian Quantile Regression—0
Deep and Probabilistic Solar Irradiance Forecast at the Arctic Circle—0
Deep Distributional Learning with Non-crossing Quantile Network—0
Deep Ensembles Meets Quantile Regression: Uncertainty-aware Imputation for Time Series—0
Ensemble Method for Censored Demand Prediction—0
Deep Generative Quantile-Copula Models for Probabilistic Forecasting—0
Deep Huber quantile regression networks—0
Deep learning-based multi-output quantile forecasting of PV generation—0
Quantile Random-Coefficient Regression with Interactive Fixed Effects: Heterogeneous Group-Level Policy Evaluation—0
Deep Learning Tubes for Tube MPC—0
A framework for predicting, interpreting, and improving Learning Outcomes—0
A Piecewise Lyapunov Analysis of Sub-quadratic SGD: Applications to Robust and Quantile Regression—0
Enhanced Route Planning with Calibrated Uncertainty Set—0
Enhanced prediction accuracy with uncertainty quantification in monitoring CO2 sequestration using convolutional neural networks—0
Disentangling Sources of Risk for Distributional Multi-Agent Reinforcement Learning—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
Enhancing Causal Discovery in Financial Networks with Piecewise Quantile Regression—0
Differentiable Ranks and Sorting using Optimal Transport—0
Differentiable Ranking and Sorting using Optimal Transport—0
bqror: An R package for Bayesian Quantile Regression in Ordinal Models—0
Distributed High-dimensional Regression Under a Quantile Loss Function—0
Distributional Advantage Actor-Critic—0
Distributional neural networks for electricity price forecasting—0
Capital Structure and Speed of Adjustment in U.S. Firms. A Comparative Study in Microeconomic and Macroeconomic Conditions - A Quantille Regression Approach—0
Density-Calibrated Conformal Quantile Regression—0
Deep Reinforcement Learning with Decorrelation—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
Bootstrap inference for panel data quantile regression—0
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