Science/Engineering A Distribution-Free Theory of Nonparametric Regression (0387954414)

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László Györfi, Michael Kohler, Adam Krzyzak, Harro Walk “A Distribution-Free Theory of Nonparametric Regression"

This book provides a systematic in-depth analysis of nonparametric regression with random design. It covers almost all known estimates such as classical local averaging estimates including kernel, partitioning and nearest neighbor estimates, least squares estimates using splines, neural networks and radial basis function networks, penalized least squares estimates, local polynomial kernel estimates, and orthogonal series estimates. The emphasis is on distribution-free properties of the estimates. Most consistency results are valid for all distributions of the data. Whenever it is not possible to derive distribution-free results, as in the case of the rates of convergence, the emphasis is on results which require as few constrains on distributions as possible, on distribution-free inequalities, and on adaptation. The relevant mathematical theory is systematically developed and requires only a basic knowledge of probability theory. The book will be a valuable reference for anyone interested in nonparametric regression and is a rich source of many useful mathematical techniques widely scattered in the literature. In particular, the book introduces the reader to empirical process theory, martingales and approximation properties of neural networks.

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	Science/Engineering Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models (Texts in Statistical Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models (Texts in Statistical Science)Chapman & Hall/CRC \| ISBN: 158488424X \| 2005-12-20 \| PDF \| 312 pages \| 8 Mb Linear models are central ...
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	Science/Engineering Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models (Texts in Statistical Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models (Texts in Statistical Science)Chapman & Hall/CRC \| ISBN: 158488424X \| 2005-12-20 \| PDF \| 312 pages \| 8 Mb Linear models are central ...
	Science/Engineering Multiple and Generalized Nonparametric Regression John Fox,"Multiple and Generalized Nonparametric Regression"Sage Publications \| 2000-05-01 \| ISBN: 0761921893 \| 96 pages \| PDF \| 1.5 mbThis book builds on John Fox’s previous volume in the QASS Series, Non Parametric Simple Regression. In ...
	Science/Engineering Applied Nonparametric Regression (Repost) Wolfgang Härdle,«Applied Nonparametric Regression» Cambridge University Press \| ISBN: 0521429501 \| 5.06 Mb \| PDF \| 352 Pages \| 1992 YearProfessor Härdle has provided us with an important book, one that will be appreciated both by applie ...
	Software Related Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models Author: Julian J. FarawayPublisher: Chapman & Hall/CRC; 1 editionPublish Date: December 20, 2005ISBN: 158488424XPages: 312Linear models are central to the practice of statistics and form the foundation of a vast range of statistical met ...
	Study Applied Nonparametric Regression (Repost) Applied Nonparametric Regression Publisher: Cambridge University Press \| ISBN: 0521429501 \| edition 1992 \| PDF \| 434 pages \| 15,8 mbProfessor Härdle has provided us with an important book, one that will be appreciated both by applied stat ...
	Nonfiction Applied Nonparametric Regression This book represents an optimally estimated common thread for the numerous topics and results in the fast-growing area of nonparametric regression. The user-friendly approach taken by the author has successfully smoothed out most of the for ...

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