Marco A.R. Ferreira,
Herbert K.H. Lee
Springer New York
0e druk, 2010
9781441924261
Multiscale Modeling
A Bayesian Perspective
Specificaties
Paperback, 245 blz.
|
Engels
Springer New York |
0e druk, 2010
ISBN13: 9781441924261
Rubricering
Onderdeel van serie
Springer Series in Statistics
Levertijd ongeveer 8 werkdagen
Samenvatting
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
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.