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Marco A.R. Ferreira, Herbert K.H. Lee

Multiscale Modeling

Name: Multiscale Modeling
Author: Marco A.R. Ferreira

A Bayesian Perspective

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Paperback, 245 blz. | Engels

Springer New York | 0e druk, 2010

ISBN13: 9781441924261

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Springer New York 0e druk, 2010 9781441924261

Onderdeel van serie Springer Series in Statistics

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This highly useful book contains methodology for the analysis of data that arise from multiscale processes. It brings together a number of recent developments and makes them accessible to a wider audience. Taking a Bayesian approach allows for full accounting of uncertainty, and also addresses the delicate issue of uncertainty at multiple scales. These methods can handle different amounts of prior knowledge at different scales, as often occurs in practice.

Specificaties

ISBN13:9781441924261

Taal:Engels

Bindwijze:paperback

Aantal pagina's:245

Uitgever:Springer New York

Druk:0

Serie:Springer Series in Statistics

Inhoudsopgave

Models for Spatial Data.- Illustrative Example.- Convolutions and Wavelets.- Convolution Methods.- Wavelet Methods.- Explicit Multiscale Models.- Overview of Explicit Multiscale Models.- Gaussian Multiscale Models on Trees.- Hidden Markov Models on Trees.- Mass-Balanced Multiscale Models on Trees.- Multiscale Random Fields.- Multiscale Time Series.- Change of Support Models.- Implicit Multiscale Models.- Implicit Computationally Linked Model Overview.- Metropolis-Coupled Methods.- Genetic Algorithms.- Case Studies.- Soil Permeability Estimation.- Single Photon Emission Computed Tomography Example.- Conclusions.

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A Bayesian Perspective

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