Multiscale Modeling : A Bayesian Perspective

Table of Contents

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   Book Overview
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   Chapter 1 Introduction
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   Chapter 2 Models for Spatial Data
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   Chapter 3 Illustrative Example
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   Chapter 4 Convolution Methods
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   Chapter 5 Wavelet Methods
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   Chapter 6 Overview of Explicit Multiscale Models
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   Chapter 7 Gaussian Multiscale Models on Trees
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   Chapter 8 Hidden Markov Models on Trees
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    Chapter 9 Mass-Balanced Multiscale Models on Trees
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    Chapter 10 Multiscale Random Fields
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    Chapter 11 Multiscale Time Series
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    Chapter 12 Change of Support Models
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    Chapter 13 Implicit Computationally Linked Model Overview
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    Chapter 14 Metropolis-Coupled Methods
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    Chapter 15 Genetic Algorithms
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    Chapter 16 Soil Permeability Estimation
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    Chapter 17 Single Photon Emission Computed Tomography Example
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    Chapter 18 Conclusions