Universal pointwise selection rule in multivariate function estimation
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Publication:1002540
DOI10.3150/08-BEJ144zbMath1168.62323arXiv0811.2649MaRDI QIDQ1002540
Alexander Goldenshluger, O. V. Lepskij
Publication date: 2 March 2009
Published in: Bernoulli (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/0811.2649
adaptive estimationoptimal rates of convergenceminimax riskBesov classespointwise estimationanisotropic Hoelder classes
Estimation in multivariate analysis (62H12) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) Minimax procedures in statistical decision theory (62C20) Markov processes: estimation; hidden Markov models (62M05)
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Cites Work
- On projection pursuit regression
- Additive regression and other nonparametric models
- Estimation of a projection-pursuit type regression model
- Pointwise and sup-norm sharp adaptive estimation of functions on the Sobolev classes
- Asymptotic minimax estimation of regression in the additive model
- Optimal spatial adaptation to inhomogeneous smoothness: An approach based on kernel estimates with variable bandwidth selectors
- On spatially adaptive estimation of nonparametric regression
- Optimal pointwise adaptive methods in nonparametric estimation
- Asymptotically exact minimax estimation in sup-norm for anisotropic Hölder classes
- On minimax wavelet estimators
- Direct estimation of the index coefficient in a single-index model
- Sharp adaptive estimation of linear functionals.
- Pointwise adaptive estimation of a multivariate function
- The method of risk envelope in estimation of linear functionals
- Asymptotically Minimax Adaptive Estimation. I: Upper Bounds. Optimally Adaptive Estimates
- Random Fields and Geometry
- Nonlinear estimation in anisotropic multi-index denoising
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item