This book contains information on how to tackle many important problems using a multiscale statistical approach. It focuses on how to use multiscale methods and discusses methodological and applied considerations.

One of the "image" problems with wavelets is that because they have been a dominant area of interest (in nonparametric smoothing) people have forgotten that they are general tools with a fascinating role and future in other areas. This book describes new topics and presents multiscale as a unifying force able to be used in many different kinds of interesting problems.

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 a wide 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 Includes supplementary material: sn.pub/extras

Autorentext
One of the "image" problems with wavelets is that because they have been a dominant area of interest (in nonparametric smoothing) people have forgotten that they are general tools with a fascinating role and future in other areas. This book describes new topics and presents multiscale as a unifying force able to be used in many different kinds of interesting problems.

Inhalt
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.