110 citations · 461 across the 50 of their papers we have counts for
3 papers · 1 filter
Variational Bayes with Synthetic Likelihood
Victor M-H. Ong, David J. Nott, Minh-Ngoc Tran +2
Synthetic likelihood is an attractive approach to likelihood-free inference when an approximately Gaussian summary statistic for the data, informative for inference about the param…
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…
Using history matching for prior choice
Xueou Wang, David J. Nott, C. C. Drovandi +2
It can be important in Bayesian analyses of complex models to construct informative prior distributions which reflect knowledge external to the data at hand. Nevertheless, how much…