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Multiscale Modeling: A Bayesian Perspective - Marco A. R. Ferreira,Herbert K. H. Lee

Anglų
2010-11-19
127,04 € 169,38 €

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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 delicat ... Visas aprašymas

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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.

Daugiau informacijos

Autorius Marco A. R. Ferreira, Herbert K. H. Lee
Leidėjas Springer US
Series Springer Series in Statistics
Išleidimo metai 2010
Viršelio tipas Minkšti viršeliai
EAN 9781441924261
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127,04 € 169,38 €