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quantile regression

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TitleStatusHype
Investigating Speed Deviation Patterns During Glucose Episodes: A Quantile Regression Approach—0
Impact of Economic Uncertainty, Geopolitical Risk, Pandemic, Financial & Macroeconomic Factors on Crude Oil Returns -- An Empirical Investigation—0
Econometric Model Using Arbitrage Pricing Theory and Quantile Regression to Estimate the Risk Factors Driving Crude Oil Returns—0
Beta quantile regression for robust estimation of uncertainty in the presence of outliers—0
Instrumental variable estimation of the proportional hazards model by presmoothing—0
Smoothing ADMM for Sparse-Penalized Quantile Regression with Non-Convex Penalties—0
Group-Conditional Conformal Prediction via Quantile Regression Calibration for Crop and Weed Classification—0
The Impact of Stocks on Correlations between Crop Yields and Prices and on Revenue Insurance Premiums using Semiparametric Quantile Regression—0
Deep Evidential Learning for Bayesian Quantile Regression—0
Value-Distributional Model-Based Reinforcement LearningCode0
Varying-coefficients for regional quantile via KNN-based LASSO with applications to health outcome studyCode0
Causal Fair Machine Learning via Rank-Preserving Interventional DistributionsCode0
Efficient Strongly Polynomial Algorithms for Quantile Regression—0
Uncertainty Quantification of the Virial Black Hole Mass with Conformal PredictionCode0
Scalable Membership Inference Attacks via Quantile Regression—0
Vector Quantile Regression on ManifoldsCode0
UTOPIA: Universally Trainable Optimal Prediction Intervals Aggregation—0
Deep Huber quantile regression networks—0
Modelling and Forecasting Macroeconomic Risk with Time Varying Skewness Stochastic Volatility Models—0
Integrating Uncertainty Awareness into Conformalized Quantile RegressionCode0
Advancing Counterfactual Inference through Nonlinear Quantile Regression—0
Conformal Prediction for Federated Uncertainty Quantification Under Label Shift—0
Monte Carlo inference for semiparametric Bayesian regression—0
Improving the generalizability and robustness of large-scale traffic signal control—0
A scientometric analysis of the effect of COVID-19 on the spread of research outputs—0
Inference in Predictive Quantile Regressions—0
Adaptive Conditional Quantile Neural ProcessesCode0
Federated Empirical Risk Minimization via Second-Order Method—0
Distributional Reinforcement Learning with Dual Expectile-Quantile Regression—0
Flexible Bayesian Quantile Analysis of Residential Rental Rates—0
On Learning the Tail Quantiles of Driving Behavior Distributions via Quantile Regression and Flows—0
RobustFair: Adversarial Evaluation through Fairness Confusion Directed Gradient SearchCode0
Twin support vector quantile regression—0
Carbon Price Forecasting with Quantile Regression and Feature Selection—0
Quantile Extreme Gradient Boosting for Uncertainty Quantification—0
Modeling Transient Changes in Circadian Rhythms—0
Quantifying and Explaining Machine Learning Uncertainty in Predictive Process Monitoring: An Operations Research Perspective—0
Conformal Regression in Calorie Prediction for Team Jumbo-Visma—0
Conformalized Unconditional Quantile Regression—0
Multi-Agent Reachability Calibration with Conformal Prediction—0
Functional-Coefficient Quantile Regression for Panel Data with Latent Group Structure—0
Pricing Transition Risk with a Jump-Diffusion Credit Risk Model: Evidences from the CDS market—0
Censored Quantile Regression with Many Controls—0
Toward Risk-based Optimistic Exploration for Cooperative Multi-Agent Reinforcement Learning—0
Uniform Pessimistic Risk and its Optimal Portfolio—0
Off-Balance Sheet Activities and Scope Economies in U.S. Banking—0
Explainable Contextual Anomaly Detection using Quantile Regression ForestsCode0
Merging satellite and gauge-measured precipitation using LightGBM with an emphasis on extreme quantiles—0
Nonlinearities in Macroeconomic Tail Risk through the Lens of Big Data Quantile Regressions—0
Unconditional Quantile Partial Effects via Conditional Quantile Regression—0
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