Simulation-based optimal Bayesian experimental design for nonlinear systems

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...

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Bibliographic Details
Main Authors:	Huan, Xun, Marzouk, Youssef M.
Other Authors:	Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Format:	Article
Language:	en_US
Published:	Elsevier 2015
Online Access:	http://hdl.handle.net/1721.1/99467 https://orcid.org/0000-0001-6544-2764 https://orcid.org/0000-0001-8242-3290

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