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Multiscale Modeling

Multiscale Modeling : A Bayesian Perspective. Softcover reprint of hardcover 1st ed. 2007.

・ISBN 978-1-4419-2426-1 paper EUR 99.99

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お気に入り
著者・編者Ferreira, Marco A.R. / Lee, Herbert K.H.,
シリーズSpringer Series in Statistics
出版社(Springer-Verlag New York Inc., US)
出版年月2010
ページ数245 pp.
言語ENG
ニュース番号<M25-21490>

解説

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.