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...

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Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Ferreira, Marco A.R (Author), Lee, Herbert K.H (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:Inglés
Published: New York, NY : Springer New York : Imprint: Springer, 2007.
Edition:1st ed. 2007.
Series:Springer Series in Statistics,
Subjects:
Statistics .
Probabilities.
Econometrics.
Computer simulation.
Computer vision.
Geography.
Statistical Theory and Methods.
Probability Theory.
Computer Modelling.
Computer Vision.
Online Access:Texto Completo
Table of Contents:
  • 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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