Bayesian Compendium

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Bayesian Compendium

Marcel van Oijen
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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, …).
年:
2024
語言:
english
頁數:
261
ISBN 10:
3031660846
ISBN 13:
9783031660849
文件:
PDF, 15.26 MB
IPFS:
CID , CID Blake2b
english, 2024
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