Bayesian inference in wavelet-based models /
This volume provides a thorough introduction and reference for any researcher who is interested in Bayesian inference for wavelet-based models, but is not necessarily an expert in either. To achieve this goal the book starts with an extensive introductory chapter providing a self-contained introduct...
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| Other Authors: | , |
| Format: | eBook |
| Language: | English |
| Published: |
New York :
Springer,
[1999]
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| Series: | Lecture notes in statistics (Springer-Verlag) ;
v. 141. |
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- Introduction
- Prior Models
- Independent Case
- Decision Theoretic Wavelet Shrinkage
- Prior Models
- Dependent Case
- Spatial Models
- Empirical Bayes
- Case Studies.