Alexander tsybakov (45 risultati)

Paperback. Condizione: New. Brand new book, sourced directly from publisher. Dispatch time is 6-7 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

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Softcover. Condizione: Sehr gut. Berlin, Springer (2004). gr.8°. X, 175 p. Pbck. Mathematiques & Applications, 41.- In very good condition.

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Condizione: New. pp. 192.

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Paperback. Condizione: Brand New. 2004 edition. 186 pages. French language. 9.10x6.10x0.40 inches. In Stock.

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Condizione: New. pp. 228.

Taschenbuch. Condizione: Neu. Introduction to Nonparametric Estimation | Alexandre B. Tsybakov | Taschenbuch | Springer Series in Statistics | x | Englisch | 2010 | Humana | EAN 9781441927095 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

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Paperback. Condizione: Brand New. 224 pages. 9.00x6.00x0.52 inches. In Stock.

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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book will be a valuable reference for researchers in the eare of nonparametrics.

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Hardcover. Condizione: Neu. 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.…

Hardcover. Condizione: Brand New. 1st edition. 224 pages. 9.75x6.25x0.50 inches. In Stock.

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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - La théorie de l'estimation non-paramétrique s'est développée considérablement ces deux dernières décennies, en se fixant pour objectif quelques thèmes principaux, en particulier, l'étude de l'optimalité des estimateurs et l'estimation adaptative. Ces deux thèmes occupent la place centrale dans le livre. Il s'agit de présenter, pour quelques modèles et exemples simples, les idées principales de l'estimation non-paramétrique. Quelques sujets abordés sont: les méthodes de noyaux, de projection et de polynômes locaux, vitesses optimales de convergence, le théorème de Pinsker, les inégalités d'oracle, l'adaptation au sens minimax. Un chapitre est consacréà l'exposition détaillée des différentes techniques de minoration du risque minimax.…

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -La théorie de l'estimation non-paramétrique s'est développée considérablement ces deux dernières décennies, en se fixant pour objectif quelques thèmes principaux, en particulier, l'étude de l'optimalité des estimateurs et l'estimation adaptative. Ces deux thèmes occupent la place centrale dans le livre. Il s'agit de présenter, pour quelques modèles et exemples simples, les idées principales de l'estimation non-paramétrique. Quelques sujets abordés sont: les méthodes de noyaux, de projection et de polynômes locaux, vitesses optimales de convergence, le théorème de Pinsker, les inégalités d'oracle, l'adaptation au sens minimax. Un chapitre est consacréà l'exposition détaillée des différentes techniques de minoration du risque minimax. 188 pp. Französisch.…