Introduction to nonparametric estimation
 Author/Creator
 Tsybakov, A. B. (Alexandre B.)
 Language
 English.
 Edition
 [English ed.].
 Imprint
 New York : Springer, c2009.
 Physical description
 xii, 214 p. : ill. ; 25 cm.
 Series
 Springer series in statistics.
Access
Available online

Stacks

Unknown
QA278.8 .T7913 2009

Unknown
QA278.8 .T7913 2009
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Contributors
 Contributor
 Zai͡at͡s, Vladimir.
Contents/Summary
 Bibliography
 Includes bibliographical references (p. [203]209) and index.
 Contents

 Nonparametric estimators. Lower bounds on the minimax risk. Asymptotic efficiency and adaptation. Appendix. References. Index.
 (source: Nielsen Book Data)
 Publisher's Summary
 This is a revised and extended version of the French book. The main changes are in Chapter 1 where the former Section 1. 3 is removed and the rest of the material is substantially revised. Sections 1. 2. 4, 1. 3, 1. 9, and 2. 7. 3 are new. Each chapter now has the bibliographic notes and contains the exercises section. I would like to thank Cristina Butucea, Alexander Goldenshluger, Stephan Huckenmann, Yuri Ingster, Iain Johnstone, Vladimir Koltchinskii, Alexander Korostelev, Oleg Lepski, Karim Lounici, Axel Munk, Boaz Nadler, AlexanderNazin, PhilippeRigollet, AngelikaRohde, andJonWellnerfortheir valuable remarks that helped to improve the text. I am grateful to Centre de Recherche en Economie et Statistique (CREST) and to Isaac Newton Ins tute for Mathematical Sciences which provided an excellent environment for ?nishing the work on the book. My thanks also go to Vladimir Zaiats for his highly competent translation of the French original into English and to John Kimmel for being a very supportive and patient editor. Alexandre Tsybakov Paris, June 2008 Preface to the French Edition The tradition of considering the problem of statistical estimation as that of estimation of a ?nite number of parameters goes back to Fisher. However, parametric models provide only an approximation, often imprecise, of the  derlying statistical structure. Statistical models that explain the data in a more consistent way are often more complex: Unknown elements in these models are, in general, some functions having certain properties of smoo ness.
(source: Nielsen Book Data)
Subjects
Bibliographic information
 Publication date
 2009
 Responsibility
 Alexandre B. Tsybakov.
 Series
 Springer series in statistics
 Note
 "The French edition of this work that is the basis of this work that is the basis of this expanded edition was translated by Vladimir Zaiats."P. [i].
 ISBN
 9780387790510
 0387790519
 0387790527
 9780387790527
 9781441927095
 1441927093
 Publisher Number
 10957929