Multiscale Modeling - A Bayesian Perspective (Paperback, Softcover reprint of hardcover 1st ed. 2007)

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This highly useful book contains methodology for the analysis of data that arise from multiscale processes. It 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. These methods can handle different amounts of prior knowledge at different scales, as often occurs in practice.


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Product Description

This highly useful book contains methodology for the analysis of data that arise from multiscale processes. It 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. These methods can handle different amounts of prior knowledge at different scales, as often occurs in practice.

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Product Details

General

Imprint

Springer-Verlag New York

Country of origin

United States

Series

Springer Series in Statistics

Release date

November 2010

Availability

Expected to ship within 10 - 15 working days

First published

2007

Authors

,

Dimensions

235 x 155 x 14mm (L x W x T)

Format

Paperback

Pages

245

Edition

Softcover reprint of hardcover 1st ed. 2007

ISBN-13

978-1-4419-2426-1

Barcode

9781441924261

Categories

LSN

1-4419-2426-4



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