Antony M. Overstall - researchr alias

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Viewing Publication 1 - 8 from 8

2022

Robust Simulation Design for Generalized Linear Models in Conditions of Heteroscedasticity or CorrelationAndrew Gill, David J. Warne, Clare McGrory, James M. McGree, Antony M. Overstall. wsc 2022: 37-48 [doi]

2020

acebayes: An R Package for Bayesian Optimal Design of Experiments via Approximate Coordinate ExchangeAntony M. Overstall, David C. Woods, Maria Adamou. jstatsoft, 95(1), 2020. [doi]

2019

Quantifying uncertainty in transdimensional Markov chain Monte Carlo using discrete Markov modelsDaniel W. Heck, Antony M. Overstall, Quentin F. Gronau, Eric-Jan Wagenmakers. sac, 29(4):631-643, 2019. [doi]

Bayesian prediction for physical models with application to the optimization of the synthesis of pharmaceutical products using chemical kineticsAntony M. Overstall, David C. Woods, Kieran J. Martin. csda, 132:126-142, 2019. [doi]

2018

An approach for finding fully Bayesian optimal designs using normal-based approximations to loss functionsAntony M. Overstall, James M. McGree, Christopher C. Drovandi. sac, 28(2):343-358, 2018. [doi]

2017

Bayesian Design of Experiments Using Approximate Coordinate ExchangeAntony M. Overstall, David C. Woods. technometrics, 59(4):458-470, 2017. [doi]

2012

Reversible jump methods for generalised linear models and generalised linear mixed modelsJonathan J. Forster, Roger C. Gill, Antony M. Overstall. sac, 22(1):107-120, 2012. [doi]

2010

Default Bayesian model determination methods for generalised linear mixed modelsAntony M. Overstall, Jonathan J. Forster. csda, 54(12):3269-3288, 2010. [doi]

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