An approach for finding fully Bayesian optimal designs using normal-based approximations to loss functions

Antony M. Overstall, James M. McGree, Christopher C. Drovandi

The generation of decision-theoretic Bayesian optimal designs is complicated by the significant computational challenge of minimising an analytically intractable expected loss func…