Pages that link to "Item:Q1987969"
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The following pages link to A data-driven framework for sparsity-enhanced surrogates with arbitrary mutually dependent randomness (Q1987969):
Displaying 6 items.
- Data-driven molecular modeling with the generalized Langevin equation (Q2124588) (← links)
- Surrogate modeling of high-dimensional problems via data-driven polynomial chaos expansions and sparse partial least square (Q2180429) (← links)
- Global sensitivity analysis: a Bayesian learning based polynomial chaos approach (Q2194350) (← links)
- Conditional deep surrogate models for stochastic, high-dimensional, and multi-fidelity systems (Q2319398) (← links)
- Algorithms for generating surrogate data for sparsely quantized time series (Q2372314) (← links)
- QUANTIFICATION OF UNCERTAINTY FROM HIGH-DIMENSIONAL SCATTERED DATA VIA POLYNOMIAL APPROXIMATION (Q2932949) (← links)
