Pages that link to "Item:Q2237721"
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The following pages link to Surrogate-based sequential Bayesian experimental design using non-stationary Gaussian processes (Q2237721):
Displaying 7 items.
- Computational enhancements to Bayesian design of experiments using Gaussian processes (Q516451) (← links)
- Optimal Bayesian experimental design for subsurface flow problems (Q2020243) (← links)
- Variational Bayesian approximation of inverse problems using sparse precision matrices (Q2138759) (← links)
- Bayesian learning of orthogonal embeddings for multi-fidelity Gaussian processes (Q2246340) (← links)
- Gaussian process surrogates for failure detection: a Bayesian experimental design approach (Q2375069) (← links)
- Deep capsule encoder–decoder network for surrogate modeling and uncertainty quantification (Q6082494) (← links)
- Maximum a posteriori estimation for linear structural dynamics models using Bayesian optimization with rational polynomial chaos expansions (Q6643578) (← links)
