Bayesian Compendium
Marcel van Oijen
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:
,
english, 2024