Auflistung Nach Schlagwort "Analytical approximation"

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Bayesian Hierarchical Models for Uncertainty Quantification in Structural Dynamics

Ballesteros, G. C.; Angelikopoulos, P.; Papadimitriou, C.; Koumoutsakos, P. (2014)

The Bayesian framework for hierarchical modeling is applied to quantify uncertainties, arising mainly due to manufacturing variability, for a group of identical structural components. Parameterized Gaussian models of ...
Bayesian uncertainty quantification and propagation using adjoint techniques

Papadimitriou, C.; Papadimitriou, D. I. (2014)

This paper presents the Bayesian inference framework enhanced by analytical approximations for uncertainty quantification and propagation and parameter estimation. A Gaussian distribution is used to approximate the posterior ...
Bayesian uncertainty quantification of turbulence models based on high-order adjoint

Papadimitriou, D. I.; Papadimitriou, C. (2015)

The uncertainties in the parameters of turbulence models employed in computational fluid dynamics simulations are quantified using the Bayesian inference framework and analytical approximations. The posterior distribution ...