Pages that link to "Item:Q2184342"
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The following pages link to Adaptive experiment design for probabilistic integration (Q2184342):
Displaying 9 items.
- Bounds optimization of model response moments: a twin-engine Bayesian active learning method (Q2039068) (← links)
- The soft Monte Carlo method (Q2243406) (← links)
- Probabilistic integration: a role in statistical computation? (Q2325605) (← links)
- Stochastic analysis of structures under limited observations using kernel density estimation and arbitrary polynomial chaos expansion (Q2679444) (← links)
- A new Bayesian probabilistic integration framework for hybrid uncertainty propagation (Q6043251) (← links)
- Collaborative and adaptive Bayesian optimization for bounding variances and probabilities under hybrid uncertainties (Q6153861) (← links)
- A multi-region active learning kriging method for response distribution construction of highly nonlinear problems (Q6185197) (← links)
- Novel gradient-enhanced Bayesian neural networks for uncertainty propagation (Q6588347) (← links)
- Sampling-based adaptive Bayesian quadrature for probabilistic model updating (Q6663268) (← links)
