Multiscale Modeling A Bayesian Perspective /
A wide variety of processes occur on multiple scales, either naturally or as a consequence of measurement. This book contains methodology for the analysis of data that arise from such multiscale processes. The book brings together a number of recent developments and makes them accessible to a wider...
Κύριοι συγγραφείς: | , |
---|---|
Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
New York, NY :
Springer New York,
2007.
|
Σειρά: | Springer Series in Statistics,
|
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.