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Multiscale Modeling

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Multiscale Modeling Synopsis

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 audience. Taking a Bayesian approach allows for full accounting of uncertainty, and also addresses the delicate issue of uncertainty at multiple scales. The Bayesian approach also facilitates the use of knowledge from prior experience or data, and these methods can handle different amounts of prior knowledge at different scales, as often occurs in practice.

About This Edition

ISBN: 9781441924261
Publication date:
Author: Marco A R Ferreira, Herbert K H Lee
Publisher: Springer an imprint of Springer New York
Format: Paperback
Pagination: 252 pages
Series: Springer Series in Statistics
Genres: Probability and statistics
Stochastics
Computer vision
Econometrics and economic statistics
Computer modelling and simulation
Geography

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