A comparison of Gaussian processes and polynomial chaos emulators in the context of haemodynamic pulse-wave propagation modelling. [PDF]
Paun LM, Colebank MJ, Husmeier D.
europepmc +1 more source
Global Reliability Sensitivity Analysis Based on Maximum Entropy and 2-Layer Polynomial Chaos Expansion. [PDF]
Zhao J, Zeng S, Guo J, Du S.
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Parameters Variability Effects on Microstrip Interconnects via Hermite Polynomial Chaos [PDF]
Canavero, Flavio +2 more
core +1 more source
Exploiting Polynomial Chaos Expansion for Rapid Assessment of the Impact of Tissue Property Uncertainties in Low-Intensity Focused Ultrasound Stimulation. [PDF]
Sumser K +3 more
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Gaussian Processes and Polynomial Chaos Expansion for Regression Problem: Linkage via the RKHS and Comparison via the KL Divergence. [PDF]
Yan L, Duan X, Liu B, Xu J.
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Combining Polynomial Chaos Expansions and Kriging
Computer simulation has emerged as a key tool for designing and assessing engineeringsystems in the last two decades. Uncertainty quantification has becomepopular more recently as a way to model all the uncertainties affecting the systemand their impact onto its performance.In this respect meta-models (a.k.a.
Schöbi, R. +3 more
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Uncertainty quantification in simulations of epidemics using polynomial chaos. [PDF]
Santonja F, Chen-Charpentier B.
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Study of the influence of the orientation of a 50-Hz magnetic field on fetal exposure using polynomial chaos decomposition. [PDF]
Liorni I +3 more
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Generalised polynomial chaos-based uncertainty quantification for planning MRgLITT procedures. [PDF]
Fahrenholtz SJ +4 more
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