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PhD (University of Queensland), Bachelor of Science (University of Queensland)
Research interests:
- Optimal experimental design
- Bayesian computational algorithms
- Big data analytics
Webpage, see here:
Research projects, see here:
Full list of publications, see here:
My book on Big Data, see here:
Research discipline: Mathematical Sciences
Additional information
- McGree J, Drovandi C, White G, Pettitt T, (2016) A pseudo-marginal sequential Monte Carlo algorithm for random effects models in Bayesian sequential design, Statistics and Computing p1121-1136
- McGree J, (2017) Developments of the total entropy utility function for the dual purpose of model discrimination and parameter estimation in Bayesian design, Computational Statistics and Data Analysis p207-225
- Woods D, McGree J, Lewis S, (2017) Model selection via Bayesian information capacity designs for generalised linear models, Computational Statistics and Data Analysis p226-238
- Ryan E, Drovandi C, McGree J, Pettitt T, (2016) A review of modern computational algorithms for Bayesian optimal design, International Statistical Review p128-154
- Drovandi C, McGree J, Pettitt T, (2014) A sequential Monte Carlo algorithm to incorporate model uncertainty in Bayesian sequential design, Journal of Computational and Graphical Statistics p3-24
- Drovandi C, McGree J, Pettitt T, (2013) Sequential Monte Carlo for Bayesian sequentially designed experiments for discrete data, Computational Statistics and Data Analysis p320-335
- McGree J, Drovandi C, Thompson H, Eccleston J, Duffull S, Mengersen K, Pettitt T, Goggin T, (2012) Adaptive Bayesian compound designs for dose finding studies, Journal of Statistical Planning and Inference p1480-1492
- McGree J, Eccleston J, (2012) Robust designs for Poisson regression models, Technometrics p64-72
- Denman N, McGree J, Eccleston J, Duffull S, (2011) Design of experiments for bivariate binary responses modelled by Copula functions, Computational Statistics and Data Analysis p1509-1520
- McGree J, Duffull S, Ward L, Eccleston J, (2007) Impedance Measurements - Patent AU2007/000726 / Patent WO2007137333(A1): Filed: May 25, 2007: Published: December 06, 2007
- Title
- Agri-Intelligence in Cotton Production Systems - Stage 1
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- QUT1701
- Start year
- 2017
- Keywords
- Agriculture Cybernetics; Digital Agriculture; In-Farm Decision Support Systems; Management of Inputs in Agriculture; Value Chain of Cotton Crops
- Title
- Innovating Optimal Experimental Design through Bayesian Statistics
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- DP120100269
- Start year
- 2012
- Keywords
- Sequential Monte Carlo; Bayesian Adaptive Design; Markov Chain Monte Carlo; Optimal Design; Bayesian Computation
- Assessing Uncertainty in Relation to Urban Stormwater Pollutant Processes (2016)
- Human Health Risk of Toxic Chemical Pollutants Generated from Traffic and Land Use Activities (2016)
- Dynamics of Nitrogen and Suspended Solids Removal in Experimental Stormwater Biofilters Under Intermittent Wetting and Drying (2015)
- Bayesian models for spatio-temporal assessment of disease (2014)
- Resilience of Water Supply Systems in Meeting the Challenges Posed by Climate Change and Population Growth (2014)
- Bayesian Survival Analysis Using Gene Expression (2013)
- Bayesian Algorithms with Applications (2012)