Pages that link to "Item:Q5149782"
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The following pages link to Optimal Design of Large-scale Bayesian Linear Inverse Problems Under Reducible Model Uncertainty: Good to Know What You Don't Know (Q5149782):
Displaying 11 items.
- Small-noise approximation for Bayesian optimal experimental design with nuisance uncertainty (Q2674073) (← links)
- Goal-oriented optimal design of experiments for large-scale Bayesian linear inverse problems (Q4582677) (← links)
- Stochastic Learning Approach for Binary Optimization: Application to Bayesian Optimal Design of Experiments (Q5071443) (← links)
- Optimal experimental design for infinite-dimensional Bayesian inverse problems governed by PDEs: a review (Q5854065) (← links)
- Edge-Promoting Adaptive Bayesian Experimental Design for X-ray Imaging (Q5864076) (← links)
- Learning physics-based models from data: perspectives from inverse problems and model reduction (Q5887831) (← links)
- A greedy sensor selection algorithm for hyperparameterized linear Bayesian inverse problems with correlated noise models (Q6146995) (← links)
- Optimal design of large-scale nonlinear Bayesian inverse problems under model uncertainty (Q6581200) (← links)
- Choosing observation operators to mitigate model error in Bayesian inverse problems (Q6587623) (← links)
- Optimal experimental design: formulations and computations (Q6598420) (← links)
- Bayesian experimental design for linear elasticity (Q6617205) (← links)
