Simulation-based optimal Bayesian experimental design for nonlinear systems
The optimal selection of experimental conditions is essential to maximizing the value of data for inference and prediction, particularly in situations where experiments are time-consuming and expensive to conduct. We propose a general mathematical framework and an algorithmic approach for optimal ex...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Elsevier
2015
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| Online Access: | http://hdl.handle.net/1721.1/99467 https://orcid.org/0000-0001-6544-2764 https://orcid.org/0000-0001-8242-3290 |