Pages that link to "Item:Q1769787"
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The following pages link to Asymptotically exact minimax estimation in sup-norm for anisotropic Hölder classes (Q1769787):
Displaying 13 items.
- Maxiset in sup-norm for kernel estimators (Q619117) (← links)
- On estimation of \(L_r\)-norms in Gaussian white noise models (Q783806) (← links)
- Structural adaptation via \(\mathbb L_p\)-norm oracle inequalities (Q957721) (← links)
- Sharp estimation in sup norm with random design (Q997249) (← links)
- Universal pointwise selection rule in multivariate function estimation (Q1002540) (← links)
- Nonparametric estimation of composite functions (Q1018644) (← links)
- Exact asymptotic minimax constants for the estimation of analytical functions in \(L_p\) (Q1271262) (← links)
- Asymptotic minimax risk for sup-norm loss: Solution via optimal recovery (Q1333562) (← links)
- Fast adaptive estimation of log-additive exponential models in Kullback-Leibler divergence (Q1746564) (← links)
- Sup-norm adaptive drift estimation for multivariate nonreversible diffusions (Q2112825) (← links)
- Minimax nonparametric estimation on maxisets (Q2199125) (← links)
- Hyperbolic wavelet thresholding methods and the curse of dimensionality through the maxiset approach (Q2252209) (← links)
- On minimax convergence rates under \(L^p\)-risk for the anisotropic functional deconvolution model (Q2407534) (← links)
