Stability analysis of heterogeneous oligopoly games of increasing players: A computational approach. [PDF]
Hou R, Li X, Wan W.
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Application of Order and Sample Selection in Uncertainty Quantification of Cardiac Models. [PDF]
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Corrigendum to "Machine Learning for the Sensitivity Analysis of a Model of the Cellular Uptake of Nanoparticles for the Treatment of Cancer". [PDF]
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Polynomial chaos expansion for sensitivity analysis
Reliability Engineering & System Safety, 2009Abstract In this paper, the computation of Sobol's sensitivity indices from the polynomial chaos expansion of a model output involving uncertain inputs is investigated. It is shown that when the model output is smooth with regards to the inputs, a spectral convergence of the computed sensitivity indices is achieved.
Thierry Crestaux +2 more
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Generalized polynomial chaos expansions with weights.
Polynomial chaos is used as an alternative to Monte Carlo methods for the propagation of uncertainty through dynamical systems. By truncating the infinite series of the polynomial chaos expansion to a finite order, the positivity of the approximate solution may be lost.
Obermaier, J., Stavropoulou, F.
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