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Bayesian Compendium 2nd Edition
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Bayesian Compendium 2nd Edition

English | 2024 | 978-3-031-66085-6 | 262 pages| Epub PDF (True) | 33 MB

Aiming to demystify the approach, it explains how to parameterize and compare models while accounting for uncertainties in data, model parameters and model structures. The literature offers a bewildering variety of techniques (Bayesian calibration, data assimilation, Kalman filtering, model-data fusion, .).

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