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Wavelets and Statistics

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Cover of 'Wavelets and Statistics'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Thresholding of Wavelet Coefficients as Multiple Hypotheses Testing Procedure
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    Chapter 2 Wavelets, spectrum analysis and 1/f processes
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    Chapter 3 Variance Function Estimation in Regression by Wavelet Methods
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    Chapter 4 Locally Self Similar Gaussian Processes
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    Chapter 5 WaveLab and Reproducible Research
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    Chapter 6 Extrema Reconstructions and Spline Smoothing: Variations on an Algorithm of Mallat & Zhong
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    Chapter 7 Wavelets and Statistics
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    Chapter 8 Nonlinear Approximation of Stochastic Processes
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    Chapter 9 Translation-Invariant De-Noising
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    Chapter 10 Estimating Wavelet Coefficients
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    Chapter 11 Nonparametric Supervised Image Segmentation by Energy Minimization using Wavelets
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    Chapter 12 On the Statistics of Best Bases Criteria
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    Chapter 13 Discretized Wavelet Density Estimators for Continuous Time Stochastic Processes
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    Chapter 14 Wavelets and Markov Random Fields in a Bayesian Framework
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    Chapter 15 Micronde: a Matlab Wavelet Toolbox for Signals and Images
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    Chapter 16 Choice of the Threshold Parameter in Wavelet Function Estimation
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    Chapter 17 The Stationary Wavelet Transform and some Statistical Applications
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    Chapter 18 Wavelet Thresholding: Beyond the Gaussian I.I.D. Situation
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    Chapter 19 L 2(0,1) Weak Convergence of the Empirical Process for Dependent Variables
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    Chapter 20 Top-Down and Bottom-Up Tree Search Algorithms for Selecting Bases in Wavelet Packet Transforms
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    Chapter 21 WavBox 4: A Software Toolbox for Wavelet Transforms and Adaptive Wavelet Packet Decompositions
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    Chapter 22 Using Wavelets for Classifying Human in vivo Magnetic Resonance Spectra
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    Chapter 23 Adaptive Density Estimation
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    Chapter 24 Wavelets and Regression Analysis
Attention for Chapter 7: Wavelets and Statistics
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Chapter title
Wavelets and Statistics
Chapter number 7
Book title
Wavelets and Statistics
Published by
Springer New York, April 2016
DOI 10.1007/978-1-4612-2544-7_7
Book ISBNs
978-0-387-94564-4, 978-1-4612-2544-7
Authors

René Carmona, Wen-Liang Hwang, Bruno Torrésani, Wen Liang Hwang

Editors

Anestis Antoniadis, Georges Oppenheim

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 6%
France 1 6%
Slovenia 1 6%
Unknown 13 81%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 31%
Professor > Associate Professor 3 19%
Researcher 3 19%
Student > Master 2 13%
Librarian 1 6%
Other 1 6%
Unknown 1 6%
Readers by discipline Count As %
Engineering 8 50%
Physics and Astronomy 2 13%
Biochemistry, Genetics and Molecular Biology 1 6%
Computer Science 1 6%
Mathematics 1 6%
Other 2 13%
Unknown 1 6%