Design of experiments for bivariate binary responses modelled by Copula functions. - N. G. Denman; James M. McGree; John A. Eccleston; Stephen B. Duffull (Comput. Stat. Data Anal., 2011)

Robust Designs for Poisson Regression Models. - James M. McGree; John A. Eccleston (Technometrics, 2012)

Sequential Monte Carlo for Bayesian sequentially designed experiments for discrete data. - Christopher C. Drovandi; James M. McGree; Anthony N. Pettitt (Comput. Stat. Data Anal., 2013)

A pseudo-marginal sequential Monte Carlo algorithm for random effects models in Bayesian sequential design. - James M. McGree; Christopher C. Drovandi; Gentry White; Anthony N. Pettitt (Stat. Comput., 2016)

Developments of the total entropy utility function for the dual purpose of model discrimination and parameter estimation in Bayesian design. - James M. McGree (Comput. Stat. Data Anal., 2017)

Model selection via Bayesian information capacity designs for generalised linear models. - David C. Woods; James M. McGree; Susan M. Lewis (Comput. Stat. Data Anal., 2017)

Optimal Bayesian design for discriminating between models with intractable likelihoods in epidemiology. - Mahasen B. Dehideniya; Christopher C. Drovandi; James M. McGree (Comput. Stat. Data Anal., 2018)

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)

A Laplace-based algorithm for Bayesian adaptive design. - S. G. J. Senarathne; Christopher C. Drovandi; James M. McGree (Stat. Comput., 2020)

Detection of cybersecurity attacks through analysis of web browsing activities using principal component analysis. - Insha Ullah; Kerrie L. Mengersen; Rob J. Hyndman; James M. McGree (CoRR, 2021)

Machine-based production scheduling for rotomoulded plastics manufacturing. - Mark Baxendale; James M. McGree; Aaron Bellette; Paul Corry (Int. J. Prod. Res., 2021)

Bayesian Experimental Design With Application to Dynamical Vehicle Models. - Matthew Cooper 005; James M. McGree; Timothy L. Molloy; Jason J. Ford (IEEE Trans. Robotics, 2021)

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)

Bayesian spatio-temporal models for stream networks. - Edgar Santos-Fernández; Jay M. Ver Hoef; Erin E. Peterson; James M. McGree; Daniel J. Isaak; Kerrie L. Mengersen (Comput. Stat. Data Anal., 2022)

Digital Health Data Imperfection Patterns and Their Manifestations in an Australian Digital Hospital. - Kanika Goel 002; Sareh Sadeghianasl; Robert Andrews 001; Arthur H. M. ter Hofstede; Moe Wynn; Dakshi Kapugama Geeganage; Sander J. J. Leemans; James M. McGree; Rebekah Eden; Andrew Staib; Rob Eley; Raelene Donovan (HICSS, 2023)

Statistical Tests and Association Measures for Business Processes. - Sander J. J. Leemans; James M. McGree; Artem Polyvyanyy; Arthur H. M. ter Hofstede (IEEE Trans. Knowl. Data Eng., 2023)

Multi-product multi-region supply chain optimisation for seasonal crops. - Harry Sisley; Güvenç Dik; James M. McGree; Paul Corry (Int. J. Prod. Res., 2023)

SSNbayes: An R Package for Bayesian Spatio-Temporal Modelling on Stream Networks. - Edgar Santos-Fernández; Jay M. Ver Hoef; James M. McGree; Daniel J. Isaak; Kerrie L. Mengersen; Erin E. Peterson (R J., 2023)

Bayesian design for sampling anomalous spatio-temporal data. - Katie Buchhorn; Kerrie L. Mengersen; Edgar Santos-Fernández; James M. McGree (Stat. Comput., 2025)