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) (KAR id:18555)
| 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. |
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: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Mathematics, Statistics and Actuarial Science |
| Depositing User: | P. Ogbuji |
| Date Deposited: | 30 Apr 2009 19:31 UTC |
| Last Modified: | 16 Nov 2021 09:56 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/18555 (The current URI for this page, for reference purposes) |
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