# Optimal Bayesian design for model discrimination via classification.

@inproceedings{Hainy2018OptimalBD, title={Optimal Bayesian design for model discrimination via classification.}, author={Markus Hainy and David J. Price and Olivier Restif and Christopher C. Drovandi}, year={2018} }

Performing optimal Bayesian design for discriminating between competing models is computationally intensive as it involves estimating posterior model probabilities for thousands of simulated datasets. This issue is compounded further when the likelihood functions for the rival models are computationally expensive. A new approach using supervised classification methods is developed to perform Bayesian optimal model discrimination design. This approach requires considerably fewer simulations from… CONTINUE READING

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