Wavelets

Abstract

Wavelet-based procedures are now indispensable in many areas of modern statistics, for example in regression, density and function estimation, factor analysis, modeling and forecasting of time series, functional data analysis, data mining and classification, with ranges of application areas in science and engineering. Wavelets owe their initial popularity in statistics to shrinkage, a simple and yet powerful procedure efficient for many nonparametric statistical models.