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Model shrinking of wavelet coefficients and applications

Vannucci, Marina and Corradi, F. (1996) Model shrinking of wavelet coefficients and applications. In: Proceedings of the Section on Bayesian Statistical Science. American Statistical Association, pp. 117-122. ISBN 1-883276-36-5. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)

Abstract

This paper refers to a Bayesian approach to the wavelet shrinkage technique. In contrast with other models recently proposed, the model adopted does not assume the totally independence of denoised wavelet coefficients. Theoretical results regarding the covariance structure of wavelet coefficients are presented and suggest possible specifications of the model. Applications to simulated signals are presented.

Item Type: Book section
Uncontrolled keywords: wavelet shrinkage; Bayesian Inference
Subjects: H Social Sciences > HA Statistics
Divisions: Faculties > Sciences > School of Mathematics Statistics and Actuarial Science > Statistics
Depositing User: P. Ogbuji
Date Deposited: 30 Apr 2009 19:31 UTC
Last Modified: 28 Aug 2019 14:23 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/18555 (The current URI for this page, for reference purposes)
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