Pages that link to "Item:Q1787391"
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The following pages link to A critical appraisal of design of experiments for uncertainty quantification (Q1787391):
Displaying 9 items.
- Uncertainties in parameter estimation: The optimal experiment design (Q1579678) (← links)
- Surrogate assisted active subspace and active subspace assisted surrogate -- a new paradigm for high dimensional structural reliability analysis (Q2072474) (← links)
- On the use of sparse Bayesian learning-based polynomial chaos expansion for global reliability sensitivity analysis (Q2087515) (← links)
- Transfer learning based multi-fidelity physics informed deep neural network (Q2127006) (← links)
- Global sensitivity analysis: a Bayesian learning based polynomial chaos approach (Q2194350) (← links)
- Versatile sequential sampling algorithm using kernel density estimation (Q2301957) (← links)
- Sequential experimental design based generalised ANOVA (Q2375266) (← links)
- Pitfalls of using a single criterion for selecting experimental designs (Q3590360) (← links)
- Isovolumetric adaptations to space-filling design of experiments (Q6173800) (← links)
