Wavelet Methods in Statistics with R
Wavelet methods have recently undergone a rapid period of development with important implications for a number of disciplines including statistics. This book has three main objectives: (i) providing an introduction to wavelets and their uses in statistics; (ii) acting as a quick and broad reference...
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| Format: | eBook |
| Language: | English |
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New York, NY
Springer New York
2008, 2008
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| Edition: | 1st ed. 2008 |
| Series: | Use R!
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| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Wavelets, discrete wavelet transforms, non-decimated transforms, wavelet packet transforms, lifting transforms
- Multiscale methods for denoising (wavelet shrinkage)
- Locally stationary wavelet time series and texture modelling
- Multiscale variable transformations for Gaussianization and variance stabilization
- Miscellaneous topics