Slice Monte Carlo integration partitions parameter space with a surrogate to enable variance-reduced stratified Monte Carlo estimation of integrals involving expensive target functions.
Uncertainty Quantification and Polynomial Chaos Techniques in Computational Fluid Dynamics
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Velocity accounts for ~79% of WSS variability in the analytical model while viscosity accounts for ~59% in the patient-specific coronary model, with unary parameter interactions dominating over 93% of total variance in both cases.
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Slice Monte Carlo Integration
Slice Monte Carlo integration partitions parameter space with a surrogate to enable variance-reduced stratified Monte Carlo estimation of integrals involving expensive target functions.
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Integrating Uncertainty Quantification into Computational Fluid Dynamics Models of Coronary Arteries Under Steady Flow
Velocity accounts for ~79% of WSS variability in the analytical model while viscosity accounts for ~59% in the patient-specific coronary model, with unary parameter interactions dominating over 93% of total variance in both cases.