Deep Gaussian Processes for Calibration of Computer Models (with Discussion)

Bayesian calibration of black-box computer models offers an established framework for quantification of uncertainty of model parameters and predictions. Traditional Bayesian calibration involves the emulation of the computer model and an additive model discrepancy term using Gaussian processes; infe...

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Veröffentlicht in:	Bayesian analysis 2022-12, Vol.17 (4), p.1-30
Hauptverfasser:	Marmin, Sébastien, Filippone, Maurizio
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Aided Engineering Computer Science
Online-Zugang:	Volltext
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