Wavelet Methods in Statistics with R

• Corporate Author: SpringerLink (Online service)
• Other Authors: Nason, G. P. (Editor)
• Format: Electronic eBook
• Language: English
• Published: New York, NY : Springer New York, 2008.
• Series: Use R!
• Subjects: Mathematics.; Data mining.; Bioinformatics.; Probabilities.; Statistics.; Econometrics.; Psychometrics.; Probability Theory and Stochastic Processes.; Statistical Theory and Methods.; Data Mining and Knowledge Discovery.

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...

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.