Pages that link to "Item:Q4836147"
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The following pages link to An Asymptotically Minimax Regression Estimator in the Uniform Norm up to Exact Constant (Q4836147):
Displaying 27 items.
- Asymptotic minimax risk of predictive density estimation for non-parametric regression (Q453278) (← links)
- Asymptotically efficient estimators for nonparametric heteroscedastic regression models (Q537348) (← links)
- Sharp optimality for regression with real-time data (Q892892) (← links)
- Statistical M-estimation and consistency in large deformable models for image warping (Q993536) (← links)
- Fast learning rates for plug-in classifiers (Q995418) (← links)
- Asymptotically efficient sequential kernel estimates of the drift coefficient in ergodic diffusion processes (Q995842) (← links)
- Sharp estimation in sup norm with random design (Q997249) (← links)
- Average case \(L_\infty\)-approximation in the presence of Gaussian noise (Q1266109) (← links)
- Remarks on extremal problems in nonparametric curve estimation (Q1293841) (← links)
- Asymptotic minimax risk for sup-norm loss: Solution via optimal recovery (Q1333562) (← links)
- Asymptotic equivalence of density estimation and Gaussian white noise (Q1354435) (← links)
- Locally minimax efficiency of nonparametric density estimators for \(\chi^2\)-type losses (Q1589839) (← links)
- Minimax linear estimation at a boundary point (Q1742746) (← links)
- Asymptotically exact minimax estimation in sup-norm for anisotropic Hölder classes (Q1769787) (← links)
- Efficient estimation of a density in a problem of tomography. (Q1848791) (← links)
- Sharp adaptive estimation of linear functionals. (Q1848917) (← links)
- Minimax exact constant in sup-norm for nonparametric regression with random design (Q1877833) (← links)
- Sup-norm adaptive drift estimation for multivariate nonreversible diffusions (Q2112825) (← links)
- Complexity of approximating Hölder classes from information with varying Gaussian noise (Q2192676) (← links)
- Minimax pointwise estimation of an anisotropic regression function with unknown density of the design (Q2437993) (← links)
- Asymptotically efficient estimates for nonparametric regression models (Q2493807) (← links)
- Exact asymptotics for estimating the marginal density of discretely observed diffusion proc\-esses (Q2565928) (← links)
- A sup-norm oracle inequality for a partially linear regression model (Q2676901) (← links)
- Adaptive estimators for nonparametric heteroscedastic regression models (Q3648631) (← links)
- Asymptotically Minimax Nonparametric Regression in L<sub>2</sub> (Q4331854) (← links)
- CONSISTENCY IN NONPARAMETRIC MINIMAX REGRESSION ESTIMATION (Q4449052) (← links)
- Adaptive Warped Kernel Estimators (Q5251480) (← links)
