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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Ferreira, Marco A. R. (Συγγραφέας), Lee, Herbert K. H. (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
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.