Multiscale Modeling: A Bayesian Perspective eBook

Delivery: Can be download immediately after purchasing. For new customer, we need process for verification from 30 mins to 12 hours.
Version: PDF/EPUB. If you need EPUB and MOBI Version, please contact us.
Compatible Devices: Can be read on any devices.

Multiscale Modeling
A Bayesian Perspective
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.

This is a digital product.

Additional ISBNs
9781441924261

Multiscale Modeling: A Bayesian Perspective is written by Marco A.R. Ferreira; Herbert K.H. Lee and published by Springer. The Digital and eTextbook ISBNs for Multiscale Modeling are 9780387708980, 0387708987 and the print ISBNs are 9780387708973, 0387708979. Additional ISBNs for this eTextbook include 9781441924261.