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quantile regression

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TitleStatusHype
Bayesian Detection of Abnormal ADS in Mutant Caenorhabditis elegans Embryos—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
Bayesian Panel Quantile Regression for Binary Outcomes with Correlated Random Effects: An Application on Crime Recidivism in Canada—0
A new asymmetric ε-insensitive pinball loss function based support vector quantile regression model—0
Bayesian Quantile Regression with Subset Selection: A Decision Analysis Perspective—0
Behind the Noise: Conformal Quantile Regression Reveals Emergent Representations—0
Beta quantile regression for robust estimation of uncertainty in the presence of outliers—0
An intelligent algorithmic trading based on a risk-return reinforcement learning algorithm—0
A ν- support vector quantile regression model with automatic accuracy control—0
Beyond mirkwood: Enhancing SED Modeling with Conformal Predictions—0
biastest: Testing parameter equality across different models in Stata—0
Data-Driven Personalized Energy Consumption Range Estimation for Plug-in Hybrid Electric Vehicles in Urban Traffic—0
A sparse PAC-Bayesian approach for high-dimensional quantile prediction—0
Conditional Generative Quantile Networks via Optimal Transport and Convex Potentials—0
Crop yield probability density forecasting via quantile random forest and Epanechnikov Kernel function—0
Data-Driven vs Traditional Approaches to Power Transformer's Top-Oil Temperature Estimation—0
A Semi-parametric Realized Joint Value-at-Risk and Expected Shortfall Regression Framework—0
A scientometric analysis of the effect of COVID-19 on the spread of research outputs—0
A Learning-based Stochastic Driving Model for Autonomous Vehicle Testing—0
A Robust Statistical Analysis of the Role of Hydropower on the System Electricity Price and Price Volatility—0
A Review on Quantile Regression for Stochastic Computer Experiments—0
A General Framework for Robust Testing and Confidence Regions in High-Dimensional Quantile Regression—0
Acela: Predictable Datacenter-level Maintenance Job Scheduling—0
Debiased/Double Machine Learning for Instrumental Variable Quantile Regressions—0
Censored Quantile Regression with Many Controls—0
A review of predictive uncertainty estimation with machine learning—0
Censored Quantile Regression Forest—0
ChePAN: Constrained Black-Box Uncertainty Modelling with Quantile Regression—0
Coherent Hierarchical Probabilistic Forecasting of Electric Vehicle Charging Demand—0
Communication-Constrained Distributed Quantile Regression with Optimal Statistical Guarantees—0
Comparison of statistical post-processing methods for probabilistic NWP forecasts of solar radiation—0
A quantile-based nonadditive fixed effects model—0
Computer Model Calibration with Time Series Data using Deep Learning and Quantile Regression—0
Spatiotemporal Density Correction of Multivariate Global Climate Model Projections using Deep Learning—0
Conditional Generative Modeling for Enhanced Credit Risk Management in Supply Chain Finance—0
Conformal Regression in Calorie Prediction for Team Jumbo-Visma—0
Probabilistic Conformal Prediction with Approximate Conditional Validity—0
A Statistical Learning Approach to Modal Regression—0
Bias correction for quantile regression estimators—0
Conformal forecasting for surgical instrument trajectory—0
A Tale of Two Tails: A Model-free Approach to Estimating Disaster Risk Premia and Testing Asset Pricing Models—0
Carbon Price Forecasting with Quantile Regression and Feature Selection—0
A Long-term Dependent and Trustworthy Approach to Reactor Accident Prognosis based on Temporal Fusion Transformer—0
Adaptive, Distribution-Free Prediction Intervals for Deep Networks—0
Quantile Regression using Random Forest Proximities—0
Decentralized Smoothing ADMM for Quantile Regression with Non-Convex Sparse Penalties—0
Capital Structure in U.S., a Quantile Regression Approach with Macroeconomic Impacts—0
Conformal Prediction for Electricity Price Forecasting in the Day-Ahead and Real-Time Balancing Market—0
A probabilistic forecast methodology for volatile electricity prices in the Australian National Electricity Market—0
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