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Bayesian Inference in Wavelet-Based Models Book

Bayesian Inference in Wavelet-Based Models
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, Bayesian Inference in Wavelet-Based Models has a rating of 3 stars
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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, Bayesian Inference in Wavelet-Based Models
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  • Bayesian Inference in Wavelet-Based Models
  • Written by author Peter Miller
  • Published by Springer-Verlag New York, LLC, June 1999
  • 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
  • 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
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Authors

I: Introduction
1: An Introduction to Wavelets
B. Vidakovic, P. Muller
2: Spectral View of Wavelets and Nonlinear Regression
J. S. Marron
II: Prior Models - Independent Case
3: Bayesian Approach to Wavelet Decomposition and Shrinkage
F. Abramovich, T. Sapatinas
4: Some Observations on the Tractability of Certain Multi-Scale Models
E. D. Kolaczyk
5: Bayesian Analysis of Change-Point Models
T. Ogden, J. D. Lynch
6: Prior Elicitation in the Wavelet Domain
H. A. Chipman, L. J. Wolfson
7: Wavelet Nonparametric Regression Using Basis Averaging
P. Yau, R. Kohn
III: Decision Theoretic Wavelet Shrinkage
8: An Overview of Wavelet Regularization
Y. Wang
9: Minimax Restoration and Deconvolution
J. Kalifa, S. Mallat
10: Robust Bayesian and Bayesian Decision Theoretic Wavelet Shrinkage
11: Best Basis Representations with Prior Statistical Models
D. Leporini, J.-C. Pesquet, H. Krim
IV: Prior Models - Dependent Case
12: Modeling Dependence in the Wavelet Domain
M. Vannucci, F. Corradi
13: MCMC Methods in Wavelet Shrinkage
P. Muller, B. Vidakovic
V: Spatial Models
14: Empirical Bayesian Spatial Prediction Using Wavelets
H.-C. Huang, N. Cressie
15: Geometrical Priors for Noisefree Wavelet Coefficients in Image Denoising
M. Jansen, A. Bultheel
16: Multiscale Hidden Markov Models for Bayesian Image Analysis
R. D. Nowak
17: Wavelets for Object Representation and Recognition in Computer Vision
L. Pastor, A. Rodriguez, D. Rios Insua
18: Bayesian Denoising of Visual Images in the Wavelet Domain
E. P. Simoncelli
VI: Empirical Bayes
19: Empirical Bayes Estimation in Wavelet Nonparametric Regression
20: Nonparametric Empirical Bayes Estimation via Wavelets
M. Pensky
VII: Case Studies
21: Multiresolution Wavelet Analyses in Hierarchical Bayesian Turbulence Models
L. M. Berliner, C. K. Wikle, R. F. Milliff
22: Low Dimensional Turbulent Transport Mechanics Near the Forest-Atmosphere Interface
G. Katul, J. Albertson
23: Latent Structure Analyses of Turbulence Data Using Wavelets and Time Series Decompositions
O. Aguilar


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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, Bayesian Inference in Wavelet-Based Models

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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, Bayesian Inference in Wavelet-Based Models

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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, Bayesian Inference in Wavelet-Based Models

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