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quantile regression

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TitleStatusHype
Ensemble learning for predictive uncertainty estimation with application to the correction of satellite precipitation products—0
Uncertainty Quantification in LV State Estimation Under High Shares of Flexible Resources—0
Uncertainty separation via ensemble quantile regression—0
Unconditional Quantile Partial Effects via Conditional Quantile Regression—0
Unconditional Quantile Regression with High Dimensional Data—0
Understanding the Under-Coverage Bias in Uncertainty Estimation—0
Uniform Inference for High-dimensional Quantile Regression: Linear Functionals and Regression Rank Scores—0
Uniform Pessimistic Risk and its Optimal Portfolio—0
Use of Deep Neural Networks for Uncertain Stress Functions with Extensions to Impact Mechanics—0
Mixed--frequency quantile regressions to forecast Value--at--Risk and Expected Shortfall—0
U.S. Long-Term Earnings Outcomes by Sex, Race, Ethnicity, and Place of Birth—0
UTOPIA: Universally Trainable Optimal Prediction Intervals Aggregation—0
Vector quantile regression and optimal transport, from theory to numerics—0
Weighted-average quantile regression—0
Who's at Risk? Effects of Inflation on Unemployment Risk—0
Wild Bootstrap Inference for Penalized Quantile Regression for Longitudinal Data—0
Will artificial intelligence accelerate or delay the race between nuclear energy technology budgeting and net-zero emissions?—0
2048: Reinforcement Learning in a Delayed Reward Environment—0
Will My Robot Achieve My Goals? Predicting the Probability that an MDP Policy Reaches a User-Specified Behavior Target—0
Decentralized Smoothing ADMM for Quantile Regression with Non-Convex Sparse Penalties—0
Quantile Regression using Random Forest Proximities—0
Accelerating Approximate Bayesian Computation with Quantile Regression: Application to Cosmological Redshift Distributions—0
Acela: Predictable Datacenter-level Maintenance Job Scheduling—0
A Composite Quantile Fourier Neural Network for Multi-Step Probabilistic Forecasting of Nonstationary Univariate Time Series—0
Adaptive, Distribution-Free Prediction Intervals for Deep Networks—0
Addressing Variance Shrinkage in Variational Autoencoders using Quantile Regression—0
A decomposition method to evaluate the `paradox of progress' with evidence for Argentina—0
Advancing Counterfactual Inference through Nonlinear Quantile Regression—0
A first-stage representation for instrumental variables quantile regression—0
A framework for predicting, interpreting, and improving Learning Outcomes—0
A General Framework for Robust Testing and Confidence Regions in High-Dimensional Quantile Regression—0
A Learning-based Stochastic Driving Model for Autonomous Vehicle Testing—0
A Long-term Dependent and Trustworthy Approach to Reactor Accident Prognosis based on Temporal Fusion Transformer—0
An efficient model-free estimation of multiclass conditional probability—0
An Efficient Multi Quantile Regression Network with Ad Hoc Prevention of Quantile Crossing—0
An Empirical Analysis of Constrained Support Vector Quantile Regression for Nonparametric Probabilistic Forecasting of Wind Power—0
A new asymmetric ε-insensitive pinball loss function based support vector quantile regression model—0
Exploring a new machine learning based probabilistic model for high-resolution indoor radon mapping, using the German indoor radon survey data—0
An intelligent algorithmic trading based on a risk-return reinforcement learning algorithm—0
A Novel Smoothed Loss and Penalty Function for Noncrossing Composite Quantile Estimation via Deep Neural Networks—0
A Panel Quantile Approach to Attrition Bias in Big Data: Evidence from a Randomized Experiment—0
A Pathwise Coordinate Descent Algorithm for LASSO Penalized Quantile Regression—0
A Piecewise Lyapunov Analysis of Sub-quadratic SGD: Applications to Robust and Quantile Regression—0
A probabilistic forecast methodology for volatile electricity prices in the Australian National Electricity Market—0
A Tale of Two Tails: A Model-free Approach to Estimating Disaster Risk Premia and Testing Asset Pricing Models—0
A quantile-based nonadditive fixed effects model—0
A review of predictive uncertainty estimation with machine learning—0
A Review on Quantile Regression for Stochastic Computer Experiments—0
A Robust Statistical Analysis of the Role of Hydropower on the System Electricity Price and Price Volatility—0
A scientometric analysis of the effect of COVID-19 on the spread of research outputs—0
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