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quantile regression

Papers

Showing 351–400 of 420 papers

TitleStatusHype
A Semi-parametric Realized Joint Value-at-Risk and Expected Shortfall Regression Framework—0
A sparse PAC-Bayesian approach for high-dimensional quantile prediction—0
A Statistical Learning Approach to Modal Regression—0
A ν- support vector quantile regression model with automatic accuracy control—0
Bayesian Binary Search—0
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
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
Beyond mirkwood: Enhancing SED Modeling with Conformal Predictions—0
biastest: Testing parameter equality across different models in Stata—0
Bin-Conditional Conformal Prediction of Fatalities from Armed Conflict—0
Bootstrap inference for panel data quantile regression—0
bqror: An R package for Bayesian Quantile Regression in Ordinal Models—0
Building Coverage Estimation with Low-resolution Remote Sensing Imagery—0
Capital Structure and Speed of Adjustment in U.S. Firms. A Comparative Study in Microeconomic and Macroeconomic Conditions - A Quantille Regression Approach—0
Capital Structure in U.S., a Quantile Regression Approach with Macroeconomic Impacts—0
Carbon Price Forecasting with Quantile Regression and Feature Selection—0
Censored Quantile Regression Forest—0
Censored Quantile Regression with Many Controls—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
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
Conditional Generative Quantile Networks via Optimal Transport and Convex Potentials—0
Probabilistic Conformal Prediction with Approximate Conditional Validity—0
Bias correction for quantile regression estimators—0
Conformal forecasting for surgical instrument trajectory—0
Conformal Inference of Individual Treatment Effects Using Conditional Density Estimates—0
Conformalized Unconditional Quantile Regression—0
Conformal Prediction for Electricity Price Forecasting in the Day-Ahead and Real-Time Balancing Market—0
Conformal Prediction for Federated Uncertainty Quantification Under Label Shift—0
Conformal Prediction Interval Estimations with an Application to Day-Ahead and Intraday Power Markets—0
Conformal Prediction Intervals for Markov Decision Process Trajectories—0
Conformal Regression in Calorie Prediction for Team Jumbo-Visma—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
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
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