ORACLE INEQUALITIES AND ADAPTIVE ESTIMATION IN THE CONVOLUTION STRUCTURE DENSITY MODEL von Lepski, O. V., Willer, T.

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Optimal Pointwise Adaptive Methods in Nonparametric Estimation von Lepski, O. V., Spokoiny, V. G.

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Optimal Spatial Adaptation to Inhomogeneous Smoothness: An Approach Based on Kernel Estimates with Variable Bandwidth Selectors von Lepski, O. V., Mammen, E., Spokoiny, V. G.

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Asymptotically exact nonparametric hypothesis testing in sup-norm and at a fixed point von LEPSKI, O. V, TSYBAKOV, A. B

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Lower bounds in the convolution structure density model von LEPSKI, O. V., WILLER, T.

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A new approach to estimator selection von LEPSKI, O.V.

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Test of symmetry in nonparametric regression von LEBLANC, F, LEPSKI, O. V

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General Selection Rule from a Family of Linear Estimators von Goldenshluger, A. V., Lepski, O. V.

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Structural adaptation in the density model von V, Lepski O, G, Rebelles

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Structural adaptation in the density model von Lepski, O V, Rebelles, G

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Minimax Nonparametric Hypothesis Testing: The Case of an Inhomogeneous Alternative von Lepski, Oleg V., Spokoiny, Vladimir G.

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On estimation of the Lr norm of a regression function von LEPSKI, O, NEMIROVSKI, A, SPOKOINY, V

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On estimation of the L r norm of a regression function von Lepski, O., Nemirovski, A., Spokoiny, V.

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