Introduction to Nonparametric Estimation (Springer Series in Statistics)

Language: English

Published by Springer, 2008

0387790519 / 9780387790510

Series: Book 104 of 160 - Springer Series in Statistics

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Neu Neuware, auf Lager - Methods of nonparametric estimation are located at the core of modern statistical science. The aim of this book is to give a short but mathematically self-contained introduction to the theory of nonparametric estimation. The emphasis is on the construction of optimal estimators; therefore the concepts of minimax optimality and adaptivity, as well as the oracle approach, occupy the central place in the book.This is a concise text developed from lecture notes and ready to be used for a course on the graduate level. The main idea is to introduce the fundamental concepts of the theory while maintaining the exposition suitable for a first approach in the field. Therefore, the results are not always given in the most general form but rather under assumptions that lead to shorter or more elegant proofs.The book has three chapters. Chapter 1 presents basic nonparametric regression and density estimators and analyzes their properties. Chapter 2 is devoted to a detailed treatment of minimax lower bounds. Chapter 3 develops more advanced topics: Pinsker's theorem, oracle inequalities, Stein shrinkage, and sharp minimax adaptivity.

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Title
Introduction to Nonparametric Estimation (Springer Series in Statistics)
Author
Alexandre B. Tsybakov
Publisher
Springer
Publication year
2008
Condition
Neu
Binding
Hardcover
Language
English
ISBN 10
0387790519
ISBN 13
9780387790510
Item weight
512 grams
Dimensions
241x160x18
Series
Book 104 of 160: Springer Series in Statistics

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

Item30 to 40 business days7 to 14 business days
First itemUS$ 72.25US$ 83.79
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