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quantile regression

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TitleStatusHype
Hybrid quantile estimation for asymmetric power GARCH models—0
Hyperboost: Hyperparameter Optimization by Gradient Boosting surrogate models—0
Impact of Economic Uncertainty, Geopolitical Risk, Pandemic, Financial & Macroeconomic Factors on Crude Oil Returns -- An Empirical Investigation—0
Improved conformalized quantile regression—0
Improving the generalizability and robustness of large-scale traffic signal control—0
Imputation Strategies for Rightcensored Wages in Longitudinal Datasets—0
Inference in Predictive Quantile Regressions—0
Infinite-Task Learning with RKHSs—0
Instrumental variable estimation of the proportional hazards model by presmoothing—0
Instrumental variable quantile regression under random right censoring—0
Insurance valuation: A two-step generalised regression approach—0
Interpretable Battery Cycle Life Range Prediction Using Early Degradation Data at Cell Level—0
Interpreting Unconditional Quantile Regression with Conditional Independence—0
In the Danger Zone: U-Net Driven Quantile Regression can Predict High-risk SARS-CoV-2 Regions via Pollutant Particulate Matter and Satellite Imagery—0
Investigating Speed Deviation Patterns During Glucose Episodes: A Quantile Regression Approach—0
Joint estimation of quantile planes over arbitrary predictor spaces—0
Joint quantile regression in vector-valued RKHSs—0
Kernel-based Optimally Weighted Conformal Prediction Intervals—0
KNG: The K-Norm Gradient Mechanism—0
Knowing what you know: valid and validated confidence sets in multiclass and multilabel prediction—0
Learning Quantile Functions without Quantile Crossing for Distribution-free Time Series Forecasting—0
Learning rates for the risk of kernel based quantile regression estimators in additive models—0
Learning Survival Distributions with the Asymmetric Laplace Distribution—0
Learning theory estimates with observations from general stationary stochastic processes—0
Learning to Simulate: Generative Metamodeling via Quantile Regression—0
Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching—0
Likelihood-Ratio Regularized Quantile Regression: Adapting Conformal Prediction to High-Dimensional Covariate Shifts—0
Local Composite Quantile Regression for Regression Discontinuity—0
Local Identification in Instrumental Variable Multivariate Quantile Regression Models—0
LogGENE: A smooth alternative to check loss for Deep Healthcare Inference Tasks—0
Low-rank Panel Quantile Regression: Estimation and Inference—0
Uncertainty estimation of machine learning spatial precipitation predictions from satellite data—0
Magazine Supply Optimization: a Case-study—0
Measurement of Common Risk Factors: A Panel Quantile Regression Model for Returns—0
Measuring the response of gold prices to uncertainty: An analysis beyond the mean—0
Membership Inference Attacks for Unseen Classes—0
Membership Inference Attacks on Diffusion Models via Quantile Regression—0
Merging satellite and gauge-measured precipitation using LightGBM with an emphasis on extreme quantiles—0
Millimeter Wave Communications with an Intelligent Reflector: Performance Optimization and Distributional Reinforcement Learning—0
Minimum Distance Estimation of Quantile Panel Data Models—0
Modeling Censored Mobility Demand through Quantile Regression Neural Networks—0
Modeling Transient Changes in Circadian Rhythms—0
Modelling and Forecasting Macroeconomic Risk with Time Varying Skewness Stochastic Volatility Models—0
Monte Carlo inference for semiparametric Bayesian regression—0
Multi-Agent Reachability Calibration with Conformal Prediction—0
Multi-Layer Deep xVA: Structural Credit Models, Measure Changes and Convergence Analysis—0
Multiple Yield Curve Modeling and Forecasting using Deep Learning—0
Multi-stage model predictive control for slug flow crystallizers using uncertainty-aware surrogate models—0
Bayesian Feature Selection in Joint Quantile Time Series Analysis—0
nabqr: Python package for improving probabilistic forecasts—0
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