This book contains information on how to tackle many important problems usinga multiscale statistical approach. It focuses on how to use multiscale methods and discusses methodological and applied considerations. Provides a quick, up-to-date and clear reference to the discipline of wavelets and their uses in statistics One of the few works that focuses on the utilities of wavelets in awide statistical context, covering nonparametric regression, time series and variance stabilization Links with the new WaveThresh freeware R software package so that users can see how new wavelet statistical methods are used in practice INDICE: 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.
- ISBN: 978-0-387-75960-9
- Editorial: Springer
- Encuadernacion: Rústica
- Páginas: 265
- Fecha Publicación: 01/08/2008
- Nº Volúmenes: 1
- Idioma: Inglés