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Introduction to Nonparametric Estimation
Presents basic nonparametric regression and density estimators and analyzes their properties. This book covers minimax lower bounds, and develops advanced topics such as: Pinsker's theorem, oracle inequalities, Stein shrinkage, and sharp minimax adaptivity
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| Lenguaje: | eng |
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Springer
2009
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| Acceso en línea: | https://dx.doi.org/10.1007/b13794 http://cds.cern.ch/record/1315296 |
| Sumario: | Presents basic nonparametric regression and density estimators and analyzes their properties. This book covers minimax lower bounds, and develops advanced topics such as: Pinsker's theorem, oracle inequalities, Stein shrinkage, and sharp minimax adaptivity |
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