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James M. McGree
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2020 – today
- 2023
- [j15]Harry Sisley
, Güvenç Dik, James M. McGree
Multi-product multi-region supply chain optimisation for seasonal crops. Int. J. Prod. Res. 61(16): 5704-5722 (2023) - [j14]Edgar Santos-Fernández, Jay M. Ver Hoef, James M. McGree, Daniel J. Isaak, Kerrie L. Mengersen, Erin E. Peterson:
SSNbayes: An R Package for Bayesian Spatio-Temporal Modelling on Stream Networks. R J. 15(3): 26-58 (2023) - [j13]Sander J. J. Leemans
Statistical Tests and Association Measures for Business Processes. IEEE Trans. Knowl. Data Eng. 35(7): 7497-7511 (2023) - [c2]Kanika Goel, Sareh Sadeghianasl, Robert Andrews, 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:
Digital Health Data Imperfection Patterns and Their Manifestations in an Australian Digital Hospital. HICSS 2023: 3235-3244 - 2022
- [j12]Edgar Santos-Fernández
Bayesian spatio-temporal models for stream networks. Comput. Stat. Data Anal. 170: 107446 (2022) - [c1]Andrew Gill, David J. Warne, Clare McGrory
Robust Simulation Design for Generalized Linear Models in Conditions of Heteroscedasticity or Correlation. WSC 2022: 37-48 - 2021
- [j11]Mark Baxendale
Machine-based production scheduling for rotomoulded plastics manufacturing. Int. J. Prod. Res. 59(5): 1301-1318 (2021) - [j10]Matthew Cooper
Bayesian Experimental Design With Application to Dynamical Vehicle Models. IEEE Trans. Robotics 37(5): 1844-1851 (2021) - [i1]Insha Ullah, Kerrie L. Mengersen, Rob J. Hyndman, James M. McGree:
Detection of cybersecurity attacks through analysis of web browsing activities using principal component analysis. CoRR abs/2107.12592 (2021) - 2020
- [j9]S. G. J. Senarathne, Christopher C. Drovandi, James M. McGree:
A Laplace-based algorithm for Bayesian adaptive design. Stat. Comput. 30(5): 1183-1208 (2020)
2010 – 2019
- 2018
- [j8]Mahasen B. Dehideniya
Optimal Bayesian design for discriminating between models with intractable likelihoods in epidemiology. Comput. Stat. Data Anal. 124: 277-297 (2018) - [j7]Antony M. Overstall, James M. McGree, Christopher C. Drovandi
An approach for finding fully Bayesian optimal designs using normal-based approximations to loss functions. Stat. Comput. 28(2): 343-358 (2018) - 2017
- [j6]James M. McGree:
Developments of the total entropy utility function for the dual purpose of model discrimination and parameter estimation in Bayesian design. Comput. Stat. Data Anal. 113: 207-225 (2017) - [j5]David C. Woods
Model selection via Bayesian information capacity designs for generalised linear models. Comput. Stat. Data Anal. 113: 226-238 (2017) - 2016
- [j4]James M. McGree
A pseudo-marginal sequential Monte Carlo algorithm for random effects models in Bayesian sequential design. Stat. Comput. 26(5): 1121-1136 (2016) - 2013
- [j3]Christopher C. Drovandi
Sequential Monte Carlo for Bayesian sequentially designed experiments for discrete data. Comput. Stat. Data Anal. 57(1): 320-335 (2013) - 2012
- [j2]James M. McGree
Robust Designs for Poisson Regression Models. Technometrics 54(1): 64-72 (2012) - 2011
- [j1]N. G. Denman, James M. McGree
Design of experiments for bivariate binary responses modelled by Copula functions. Comput. Stat. Data Anal. 55(4): 1509-1520 (2011)
Coauthor Index
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