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Likelihood-free Simulation-based Optimal Design
[article]

2013
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arXiv
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pre-print

Simulation-based optimal design techniques are a convenient tool for solving a particular class of optimal design problems. The goal is to find the optimal configuration of factor settings with respect to an expected utility criterion. This criterion depends on the specified probability model for the data and on the assumed prior distribution for the model parameters. We develop new simulation-based optimal design methods which incorporate likelihood-free approaches and utilize them in novel

arXiv:1305.4273v1
fatcat:ktgenvbscrgjnmnjhwsparx5zi