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Wavelets, Approximation, and Statistical Applications

  • Book
  • © 1998

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Part of the book series: Lecture Notes in Statistics (LNS, volume 129)

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Table of contents (12 chapters)

Keywords

About this book

The mathematical theory of ondelettes (wavelets) was developed by Yves Meyer and many collaborators about 10 years ago. It was designed for ap­ proximation of possibly irregular functions and surfaces and was successfully applied in data compression, turbulence analysis, image and signal process­ ing. Five years ago wavelet theory progressively appeared to be a power­ ful framework for nonparametric statistical problems. Efficient computa­ tional implementations are beginning to surface in this second lustrum of the nineties. This book brings together these three main streams of wavelet theory. It presents the theory, discusses approximations and gives a variety of statistical applications. It is the aim of this text to introduce the novice in this field into the various aspects of wavelets. Wavelets require a highly interactive computing interface. We present therefore all applications with software code from an interactive statistical computing environment. Readers interested in theory and construction of wavelets will find here in a condensed form results that are somewhat scattered around in the research literature. A practioner will be able to use wavelets via the available software code. We hope therefore to address both theory and practice with this book and thus help to construct bridges between the different groups of scientists. This te. xt grew out of a French-German cooperation (Seminaire Paris­ Berlin, Seminar Berlin-Paris). This seminar brings together theoretical and applied statisticians from Berlin and Paris. This work originates in the first of these seminars organized in Garchy, Burgundy in 1994.

Authors and Affiliations

  • Wirtschaftswissenschaftliche Fakultät, Institut fär Statistik und Ökonometrie, Humboldt-Universität zu Berlin, Berlin, Germany

    Wolfgang Härdle

  • URA CNRS 1321 Modal, Université Paris X, Nanterre Cedex, France

    Gerard Kerkyacharian

  • UFR Mathématique, URA CNRS 1321, Université Paris VII, Paris cedex 5, France

    Dominique Picard

  • Laboratoire de Probabilités, Université Paris VI, Paris cedex 5, France

    Alexander Tsybakov

Bibliographic Information

  • Book Title: Wavelets, Approximation, and Statistical Applications

  • Authors: Wolfgang Härdle, Gerard Kerkyacharian, Dominique Picard, Alexander Tsybakov

  • Series Title: Lecture Notes in Statistics

  • DOI: https://doi.org/10.1007/978-1-4612-2222-4

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag New York, Inc. 1998

  • Softcover ISBN: 978-0-387-98453-7Published: 30 April 1998

  • eBook ISBN: 978-1-4612-2222-4Published: 06 December 2012

  • Series ISSN: 0930-0325

  • Series E-ISSN: 2197-7186

  • Edition Number: 1

  • Number of Pages: XVIII, 265

  • Topics: Analysis

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