Statistical Modeling by Wavelets
Wiley Series in Probability and Statistics
1. Edition May 1999
1999. 408 Pages, Hardcover
ISBN 978-0-471-29365-1 - John Wiley & Sons
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In recent years there has been a growing interest in the application of the mathematical functions known as wavelets to a broad range of statistical problems. This pioneering, state-of-the-art book focuses on those applications. Tested over three years in Brani Vidakovic's classes at the acclaimed Institute for Statistics and Decision Sciences, Statistical Modeling by Wavelets provides the reader with clear guidelines to the use of wavelets in the field of statistics, including novel and important wavelet applications such as deconvolution, approximate factor analysis, spectral density estimation, wavelet classificatory, pursuit methods, and maximum-modulus methods.
From the contents
Discrete Wavelet Transformations.
Bayesian Methods in Wavelets.
Wavelets and Random Processes.
Wavelet-Based Random Variables and Densities.
Miscellaneous Statistical Applications.