21. Multiresolution Wavelet Analyses in Hierarchical Bayesian Turbulence Models / L.M. Berliner, C.K. Wikle and R.F. Milliff -- 22. Low Dimensional Turbulent Transport Mechanics Near the Forest-Atmosphere Interface / G. Katul and J. Albertson -- 23. Latent Structure Analyses of Turbulence Data Using Wavelets and Time Series Decompositions / O. Aguilar.
I. Introduction -- 1. An Introduction to Wavelets / B. Vidakovic and 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 and 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 and J.D. Lynch -- 6. Prior Elicitation in the Wavelet Domain / H.A. Chipman and L.J. Wolfson -- 7. Wavelet Nonparametric Regression Using Basis Averaging / P. Yau and R. Kohn -- III. Decision Theoretic Wavelet Shrinkage -- 8. An Overview of Wavelet Regularization / Y. Wang -- 9. Minimax Restoration and Deconvolution / J. Kalifa and S. Mallat -- 10. Robust Bayesian and Bayesian Decision Theoretic Wavelet Shrinkage / F. Ruggeri -- 11. Best Basis Representations with Prior Statistical Models / D. Leporini, J.-C. Pesquet and H. Krim -- IV. Prior Models -- Dependent Case -- 12. Modeling Dependence in the Wavelet Domain / M. Vannucci and F. Corradi -- 13. MCMC Methods in Wavelet Shrinkage / P. Muller and B. Vidakovic -- V. Spatial Models -- 14. Empirical Bayesian Spatial Prediction Using Wavelets / H.-C. Huang and N. Cressie -- 15. Geometrical Priors for Noisefree Wavelet Coefficients in Image Denoising / M. Jansen and 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 and 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 / M.A. Clyde and E.I. George -- 20. Nonparametric Empirical Bayes Estimation via Wavelets / M. Pensky -- VII. Case Studies.
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"This volume provides a thorough introduction and reference for any researcher who is interested in Bayesian inference for wavelet-based models. To achieve this goal, the book starts with an extensive introductory chapter providing a self-contained introduction to the use of wavelet decompositions, and the relation to Bayesian inference. The remaining papers in this volume are divided into six parts: independent prior modeling; decision theoretic aspects; dependent prior modeling, spatial models using bivariate wavelet bases, empirical Bayes approaches; and case studies."--Jacket.