The following pages link to (Q3093390):
Displaying 49 items.
- Composite support vector quantile regression estimation (Q2259813) (← links)
- High-dimensional Bayesian optimization with projections using quantile Gaussian processes (Q2300637) (← links)
- Moving quantile regression (Q2301045) (← links)
- Estimation of conditional quantiles from data with additional measurement errors (Q2317284) (← links)
- Quantile and expectile smoothing based on \(L_1\)-norm and \(L_2\)-norm fuzzy transforms (Q2329594) (← links)
- Antithetic and Monte Carlo kernel estimators for partial rankings (Q2329828) (← links)
- Non-crossing quantile regression via doubly penalized kernel machine (Q2430224) (← links)
- Aggregative quantification for regression (Q2435724) (← links)
- A fast algorithm for computing least-squares cross-validations for nonparametric conditional kernel density functions (Q2445795) (← links)
- Noninformative nonparametric quantile estimation for simple random samples (Q2581799) (← links)
- Simultaneous estimation for non-crossing multiple quantile regression with right censored data (Q2631354) (← links)
- Nonlinear dimension reduction for conditional quantiles (Q2673348) (← links)
- Deep quantile and deep composite triplet regression (Q2685516) (← links)
- Gibbs posterior concentration rates under sub-exponential type losses (Q2692523) (← links)
- Comparing time varying regression quantiles under shift invariance (Q2692546) (← links)
- Learning rates for the risk of kernel-based quantile regression estimators in additive models (Q2805231) (← links)
- Nonparametric Conditional Density Estimation Using Piecewise-Linear Solution Path of Kernel Quantile Regression (Q3612133) (← links)
- EMPIRICAL REGRESSION QUANTILE (Q4006124) (← links)
- Projected regression method for solving Fredholm integral equations arising in the analytic continuation problem of quantum physics (Q4597567) (← links)
- (Q4614094) (← links)
- Nonparametric estimation of extreme conditional quantiles (Q4818622) (← links)
- Time-series forecasting of mortality rates using deep learning (Q4959368) (← links)
- The Big Data Newsvendor: Practical Insights from Machine Learning (Q4971580) (← links)
- Learning Multiple Quantiles With Neural Networks (Q5066505) (← links)
- Applying regression techniques in designing optimal trade execution strategy for an asset (Q5070610) (← links)
- Bayesian non-crossing quantile regression for regularly varying distributions (Q5107362) (← links)
- Regularized boxplot via convex clustering (Q5107387) (← links)
- Testing and estimation in marker‐set association study using semiparametric quantile regression kernel machine (Q5739258) (← links)
- Conformal Prediction: A Gentle Introduction (Q5885998) (← links)
- A quantile‐slicing approach for sufficient dimension reduction with censored responses (Q6067320) (← links)
- Robust support vector quantile regression with truncated pinball loss (RSVQR) (Q6080392) (← links)
- Non-crossing convex quantile regression (Q6117827) (← links)
- Conditional quantile change test for time series based on support vector regression (Q6141736) (← links)
- Conditionally Elicitable Dynamic Risk Measures for Deep Reinforcement Learning (Q6143823) (← links)
- Deep support vector quantile regression with non-crossing constraints (Q6148397) (← links)
- Asymptotics for penalized spline estimators in quantile regression (Q6169377) (← links)
- Structure learning via unstructured kernel-based M-estimation (Q6184881) (← links)
- No-Crossing Single-Index Quantile Regression Curve Estimation (Q6190329) (← links)
- Flexible specification testing in quantile regression models (Q6196807) (← links)
- Residual projection for quantile regression in vertically partitioned big data (Q6487753) (← links)
- Can a single neuron learn predictive uncertainty? (Q6535994) (← links)
- A location-scale model for non-crossing expectile curves (Q6537849) (← links)
- Multiple-output quantile regression neural network (Q6547755) (← links)
- Predicting failure times of coherent systems (Q6583688) (← links)
- Constructing decision rules for multiproduct newsvendors: an integrated estimation-and-optimization framework (Q6586229) (← links)
- Generalized Bayesian MARS: tools for stochastic computer model emulation (Q6587618) (← links)
- Flexible conditional density estimation for time series (Q6593995) (← links)
- Analyzing ozone concentration by Bayesian spatio-temporal quantile regression (Q6615771) (← links)
- Solution path algorithm for distributionally robust regression (Q6618217) (← links)
