Pages that link to "Item:Q3552621"
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The following pages link to Consistency of kernel-based quantile regression (Q3552621):
Displaying 17 items.
- Quantile regression with \(\ell_1\)-regularization and Gaussian kernels (Q457695) (← links)
- Weak consistency of the support vector machine quantile regression approach when covariates are functions (Q645434) (← links)
- Convergence theorems for empirical cumulative quantile regression functions (Q1900837) (← links)
- Conditional quantiles with varying Gaussians (Q1955538) (← links)
- Approximate nonparametric quantile regression in reproducing kernel Hilbert spaces via random projection (Q2056283) (← links)
- Learning rates for the kernel regularized regression with a differentiable strongly convex loss (Q2191832) (← links)
- Estimation of conditional quantiles from data with additional measurement errors (Q2317284) (← links)
- A review on consistency and robustness properties of support vector machines for heavy-tailed distributions (Q2442784) (← links)
- Consistency and robustness of kernel-based regression in convex risk minimization (Q2469652) (← links)
- Bi-level path following for cross validated solution of kernel quantile regression (Q2880981) (← links)
- Separability of reproducing kernel spaces (Q2964043) (← links)
- (Q4278999) (← links)
- Convergence rate of SVM for kernel-based robust regression (Q4626547) (← links)
- Structured kernel quantile regression (Q4922622) (← links)
- Estimation of scale functions to model heteroscedasticity by regularised kernel-based quantile methods (Q5419463) (← links)
- <i>L</i><sup>2</sup> consistency of the kernel quantile estimator (Q6164691) (← links)
- Data-driven optimization models for inventory and financing decisions in online retailing platforms (Q6589104) (← links)
