International Journal for Uncertainty Quantification

Próximos Artículos:

A multi-fidelity neural network surrogate sampling method for uncertainty quantification
Mohammad Motamed
DOI: 10.1615/Int.J.UncertaintyQuantification.2020031957

Multi-Fidelity modeling of Probabilistic Aerodynamic Databases for Use in Aerospace Engineering
Jayant Mukhopadhaya, Brian Whitehead, John Quindlen, Juan Alonso, Andrew Cary
DOI: 10.1615/Int.J.UncertaintyQuantification.2020032841

Sensitivity indices for output on a Riemannian manifold
Ricardo Fraiman, Fabrice Gamboa, Leonardo Moreno
DOI: 10.1615/Int.J.UncertaintyQuantification.2020029614

Solving Stochastic Inverse Problems using Approximate Push-forward Densities based on a Multi-fidelity Monte Carlo Method
Lukas Bruder, Michael Gee, Timothy Wildey
DOI: 10.1615/Int.J.UncertaintyQuantification.2020030092