Sequential Bayesian optimal experimental design via approximate dynamic programming

X Huan, YM Marzouk - arXiv preprint arXiv:1604.08320, 2016 - arxiv.org
The design of multiple experiments is commonly undertaken via suboptimal strategies, such
as batch (open-loop) design that omits feedback or greedy (myopic) design that does not …
被引用次数：83 相关文章

Sequential Bayesian optimal experimental design via approximate dynamic programming

X Huan, YM Marzouk - arXiv e-prints, 2016 - ui.adsabs.harvard.edu
The design of multiple experiments is commonly undertaken via suboptimal strategies, such
as batch (open-loop) design that omits feedback or greedy (myopic) design that does not …
[PDF] researchgate.net

[PDF][PDF] Sequential Bayesian optimal experimental design via approximate dynamic programming

X Huan, YM Marzouk - arXiv preprint arXiv:1604.08320, 2016 - researchgate.net
The design of multiple experiments is commonly undertaken via suboptimal strategies, such
as batch (open-loop) design that omits feedback or greedy (myopic) design that does not …