55 citations · 121 across the 24 of their papers we have counts for
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stat.ME2016
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…
stat.ME2016
Model selection via Bayesian information capacity designs for generalised linear models
David C. Woods, James M. McGree, Susan M. Lewis
The first investigation is made of designs for screening experiments where the response variable is approximated by a generalised linear model. A Bayesian information capacity crit…