Pages that link to "Item:Q3970694"
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The following pages link to On exact \(L_ 1\) rates of convergence in non-parametric kernel regression (Q3970694):
Displaying 11 items.
- On the convergence rate of maximal deviation distribution for kernel regression estimates (Q760119) (← links)
- Optimal global rates of convergence for nonparametric regression with unbounded data (Q998985) (← links)
- On the asymptotic mean square error of \(L_ 1\) kernel estimates of smooth functions (Q1099021) (← links)
- Corrections to ''Speed of convergence in nonparametric kernel estimation of a regression function and its derivatives'' (Q1260733) (← links)
- An equivalence theorem for \(L_ 1\) convergence of the kernel regression estimate (Q1262650) (← links)
- Growth curves: A two-stage nonparametric approach (Q1329706) (← links)
- The pointwise rate of convergence of the kernel regression estimate (Q1821449) (← links)
- Explicit formula for asymptotic higher moments of the Nadaraya-Watson estimator (Q2257020) (← links)
- CLT and \(\mathbb L^q\) errors in nonparametric functional regression (Q2462099) (← links)
- Analysis of target data-dependent greedy kernel algorithms: convergence rates for \(f\)-, \(f \cdot P\)- and \(f/P\)-greedy (Q2699021) (← links)
- Global convergence of the recursive kernel regression estimates with applications in classification and nonlinear system estimation (Q4014147) (← links)
