Title:
Multiscale Modelling A Bayesian Perspective
Personal Author:
Series:
Springer Series in Statistics,
Publication Information:
New York : Springer Science+Business Media, LLC, 2007.
Physical Description:
xii, 245 p. : ill., digital ; 24 cm.
ISBN:
9780387708980
General Note:
Available in online version
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Electronic Access:
Full Text
Genre:
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Library | Item Barcode | Call Number | Material Type | Item Category 1 | Status |
---|---|---|---|---|---|
Searching... | EB000088 | EB 000088 | Electronic Book | 1:EBOOK | Searching... |
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Summary
Summary
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.