Default Bayesian model determination methods for generalised linear mixed models. - Antony M. Overstall; Jonathan J. Forster (Comput. Stat. Data Anal., 2010)

Reversible jump methods for generalised linear models and generalised linear mixed models. - Jonathan J. Forster; Roger C. Gill; Antony M. Overstall (Stat. Comput., 2012)

Bayesian Design of Experiments Using Approximate Coordinate Exchange. - Antony M. Overstall; David C. Woods (Technometrics, 2017)

An approach for finding fully Bayesian optimal designs using normal-based approximations to loss functions. - Antony M. Overstall; James M. McGree; Christopher C. Drovandi (Stat. Comput., 2018)

Bayesian prediction for physical models with application to the optimization of the synthesis of pharmaceutical products using chemical kinetics. - Antony M. Overstall; David C. Woods; Kieran J. Martin (Comput. Stat. Data Anal., 2019)

Quantifying uncertainty in transdimensional Markov chain Monte Carlo using discrete Markov models. - Daniel W. Heck; Antony M. Overstall; Quentin F. Gronau; Eric-Jan Wagenmakers (Stat. Comput., 2019)

acebayes: An R Package for Bayesian Optimal Design of Experiments via Approximate Coordinate Exchange. - Antony M. Overstall; David C. Woods; Maria Adamou (J. Stat. Softw., 2020)

Robust Simulation Design for Generalized Linear Models in Conditions of Heteroscedasticity or Correlation. - Andrew Gill; David J. Warne; Clare McGrory; James M. McGree; Antony M. Overstall (WSC, 2022)