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Wavelets, Approximation, and Statistical Applications (Lecture Notes in Statistics)
Language: English
Published by Springer-Verlag, Berlin - Heidelberg - New York, 1998
ISBN 10: 0387984534 ISBN 13: 9780387984537
Paperback. Condition: Very Good. Just a touch of edgewear, and some fading at spine. No. "1039" written at top edge, inside front cover. Otherwise, very clean and sound, appears unread. Part of series Lecture Notes in Statistics, No. 129. 265 pgs.
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PF. Condition: New.
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Introduction à l'estimation non paramétrique (Mathématiques et Applications, 41) (French Edition)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 34.30
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Introduction à l'estimation non-paramétrique
Language: French
Published by Springer-Verlag Berlin and Heidelberg GmbH & Co. K, 2004
ISBN 10: 3540405925 ISBN 13: 9783540405924
Softcover. Condition: Très bon. Ancien livre de bibliothèque avec équipements. Couverture différente. Edition 2004. Tome 41. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Different cover. Edition 2004. Volume 41. Ammareal gives back up to 15% of this item's net price to charity organizations.
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Condition: New. pp. 192.
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Introduction L'Estimation Non Param Trique (Mathimatiques Et Applications)
Language: French
Published by Springer-Verlag Berlin and Heidelberg GmbH & Co. K, 2003
ISBN 10: 3540405925 ISBN 13: 9783540405924
Paperback. Condition: Brand New. 2004 edition. 186 pages. French language. 9.10x6.10x0.40 inches. In Stock.
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Introduction to Nonparametric Estimation (Springer Series in Statistics)
Book 104 of 160: Springer Series in StatisticsSeller: Ria Christie Collections, Uxbridge, United Kingdom
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Introduction to Nonparametric Estimation
Book 104 of 160: Springer Series in StatisticsSeller: GreatBookPricesUK, Woodford Green, United Kingdom
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Wavelets, Approximation, and Statistical Applications (Lecture Notes in Statistics, 129)
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£ 104.30
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hardcover. Condition: Gut. 224 Seiten; 9780387790510.3 Gewicht in Gramm: 1.
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Condition: New. pp. 228.
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Condition: New.
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Introduction to Nonparametric Estimation (Springer Series in Statistics)
Book 104 of 160: Springer Series in StatisticsSeller: Ria Christie Collections, Uxbridge, United Kingdom
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Hardcover. Condition: 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.
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Paperback. Condition: Brand New. 224 pages. 9.00x6.00x0.52 inches. In Stock.
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Introduction to Nonparametric Estimation
Book 104 of 160: Springer Series in StatisticsLanguage: English
Published by Springer New York, Springer US Nov 2010, 2010
ISBN 10: 1441927093 ISBN 13: 9781441927095
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 228 pp. Englisch.
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Introduction to Nonparametric Estimation
Book 104 of 160: Springer Series in StatisticsLanguage: English
Published by Springer New York, Springer US, 2010
ISBN 10: 1441927093 ISBN 13: 9781441927095
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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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Introduction to Nonparametric Estimation
Book 104 of 160: Springer Series in StatisticsSeller: GreatBookPricesUK, Woodford Green, United Kingdom
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£ 160.99
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Paperback. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Condition: As New. Unread book in perfect condition.
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Condition: New. pp. 228.
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Introduction to Nonparametric Estimation
Book 104 of 160: Springer Series in StatisticsLanguage: English
Published by Springer New York, Springer US Nov 2008, 2008
ISBN 10: 0387790519 ISBN 13: 9780387790510
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 228 pp. Englisch.
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Hardcover. Condition: Brand New. 1st edition. 224 pages. 9.75x6.25x0.50 inches. In Stock.
