Model shrinking of wavelet coefficients and applications

Vannucci, Marina and Corradi, F. (1996) Model shrinking of wavelet coefficients and applications. In: Symposium of the Section on Bayesian Statistical Science, at the Annual Meeting of the American-Statistical-Association, Chicago, Il. (The full text of this publication is not available from this repository)

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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: Conference or workshop item (Other)
Uncontrolled keywords: wavelet shrinkage; Bayesian Inference
Subjects: H Social Sciences > HA Statistics
Divisions: Faculties > Science Technology and Medical Studies > School of Mathematics Statistics and Actuarial Science > Statistics
Depositing User: P. Ogbuji
Date Deposited: 30 Apr 2009 19:31
Last Modified: 18 Jul 2014 10:56
Resource URI: http://kar.kent.ac.uk/id/eprint/18555 (The current URI for this page, for reference purposes)
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