Uncertainty Quantification of Large-Scale Health Economic Simulation Models

Enabling Uncertainty Quantification of Large Aircraft System Simulation Models

A common viewpoint in both academia and industry is that that Verification, Validation and Uncertainty Quantification (VV&UQ) of simulation models are vital activities for a successful deployment of model-based system engineering. In the literature, there is no lack of advice regarding methods for VV&UQ. However, for industrial applications available methods for Uncertainty Quantification (UQ) ...

Uncertainty Quantification In Large Computational Engineering Models

While a wealth of experience in the development of uncertainty quantification methods and software tools exists at present, a cohesive software package utilizing massively parallel computing resources does not. The thrust of the work to be discussed herein is the development of such a toolkit, which has leveraged existing software frameworks (e.g., DAKOTA (Design Analysis Kit for OpTimizAtion))...

Structural Uncertainty in Health Economic Decision Models

A Framework for Early and Approximate Uncertainty Quantification of Large System Simulation Models

Uncertainty Quantification (UQ) is vital to ensure credibility in simulation results and to justify model-based design decisions – especially in early development phases when system level measurement data for traditional model validation purposes are scarce. Central UQ challenges in industrial applications are computational cost and availability of information and resources for uncertainty char...

Efficient uncertainty quantification techniques in inverse problems for Richards’ equation using coarse-scale simulation models

0309-1708/$ see front matter 2008 Elsevier Ltd. A doi:10.1016/j.advwatres.2008.11.009 * Corresponding author. E-mail address: [email protected] (P. Dost This paper concerns efficient uncertainty quantification techniques in inverse problems for Richards’ equation which use coarse-scale simulation models. We consider the problem of determining saturated hydraulic conductivity fields condi...