Dr Antony Overstall

  • Honorary Research Fellow (School of Mathematics & Statistics)

email: Antony.Overstall@glasgow.ac.uk

R225 Level 2, School of Maths & Stats, Mathematics Building, Glasgow

Publications

List by: Type | Date

Jump to: 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2010
Number of items: 13.

2018

Overstall, A. M., McGree, J. M. and Drovandi, C. C. (2018) An approach for finding fully Bayesian optimal designs using normal-based approximations to loss functions. Statistics and Computing, 28(2), pp. 343-358. (doi: 10.1007/s11222-017-9734-x)

2017

Overstall, A. M. and Woods, D. C. (2017) Bayesian design of experiments using approximate coordinate exchange. Technometrics, 59(4), pp. 458-470. (doi: 10.1080/00401706.2016.1251495)

2016

Overstall, A. M. and Woods, D. C. (2016) Multivariate emulation of computer simulators: model selection and diagnostics with application to a humanitarian relief model. Journal of the Royal Statistical Society: Series C (Applied Statistics), 65(4), pp. 483-505. (doi: 10.1111/rssc.12141)

2015

Overstall, A. M., Woods, D. C. and Parker, B. M. (2015) Bayesian Optimal Design for Ordinary Differential Equation Models. Working Paper. University of Glasgow. (Unpublished)

Overstall, A. and Woods, D. (2015) The approximate coordinate exchange algorithm for Bayesian optimal design of experiments. Working Paper. University of Glasgow, Glasgow, UK. (Unpublished)

2014

Overstall, A. and King, R. (2014) conting: an R package for Bayesian analysis of complete and incomplete contingency tables. Journal of Statistical Software, 58(7), pp. 1-27.

Overstall, A. M., King, R., Bird, S. M., Hutchinson, S. J. and Hay, G. (2014) Incomplete contingency tables with censored cells with application to estimating the number of people who inject drugs in Scotland. Statistics in Medicine, 33(9), pp. 1564-1579. (doi: 10.1002/sim.6047)

King, R., Bird, S., Overstall, A. M., Hay, G. and Hutchinson, S. J. (2014) Estimating prevalence of injecting drug users and associated heroin-related death rates in England by using regional data and incorporating prior information. Journal of the Royal Statistical Society: Series A (Statistics in Society), 177(1), pp. 209-236. (doi: 10.1111/rssa.12011)

Overstall, A. M. and King, R. (2014) A default prior distribution for contingency tables with dependent factor levels. Statistical Methodology, 16, pp. 90-99. (doi: 10.1016/j.stamet.2013.08.007)

2013

King, R., Bird, S. M., Overstall, A., Hay, G. and Hutchinson, S. J. (2013) Injecting drug users in Scotland, 2006: listing, number, demography, and opiate-related death-rates. Addiction Research and Theory, 21(3), pp. 235-246. (doi: 10.3109/16066359.2012.706344)

Overstall, A. M. and Woods, D. C. (2013) A strategy for Bayesian inference for computationally expensive models with application to the estimation of stem cell properties. Biometrics, 69(2), pp. 458-468. (doi: 10.1111/biom.12017)

2012

Forster, J. J., Gill, R. C. and Overstall, A. M. (2012) Reversible jump methods for generalised linear models and generalised linear mixed models. Statistics and Computing, 22(1), pp. 107-120. (doi: 10.1007/s11222-010-9210-3)

2010

Overstall, A. M. and Forster, J. J. (2010) Default Bayesian model determination methods for generalised linear mixed models. Computational Statistics and Data Analysis, 54(12), pp. 3269-3288. (doi: 10.1016/j.csda.2010.03.008)

This list was generated on Wed Sep 22 00:17:54 2021 BST.
Number of items: 13.

Articles

Overstall, A. M., McGree, J. M. and Drovandi, C. C. (2018) An approach for finding fully Bayesian optimal designs using normal-based approximations to loss functions. Statistics and Computing, 28(2), pp. 343-358. (doi: 10.1007/s11222-017-9734-x)

Overstall, A. M. and Woods, D. C. (2017) Bayesian design of experiments using approximate coordinate exchange. Technometrics, 59(4), pp. 458-470. (doi: 10.1080/00401706.2016.1251495)

Overstall, A. M. and Woods, D. C. (2016) Multivariate emulation of computer simulators: model selection and diagnostics with application to a humanitarian relief model. Journal of the Royal Statistical Society: Series C (Applied Statistics), 65(4), pp. 483-505. (doi: 10.1111/rssc.12141)

Overstall, A. and King, R. (2014) conting: an R package for Bayesian analysis of complete and incomplete contingency tables. Journal of Statistical Software, 58(7), pp. 1-27.

Overstall, A. M., King, R., Bird, S. M., Hutchinson, S. J. and Hay, G. (2014) Incomplete contingency tables with censored cells with application to estimating the number of people who inject drugs in Scotland. Statistics in Medicine, 33(9), pp. 1564-1579. (doi: 10.1002/sim.6047)

King, R., Bird, S., Overstall, A. M., Hay, G. and Hutchinson, S. J. (2014) Estimating prevalence of injecting drug users and associated heroin-related death rates in England by using regional data and incorporating prior information. Journal of the Royal Statistical Society: Series A (Statistics in Society), 177(1), pp. 209-236. (doi: 10.1111/rssa.12011)

Overstall, A. M. and King, R. (2014) A default prior distribution for contingency tables with dependent factor levels. Statistical Methodology, 16, pp. 90-99. (doi: 10.1016/j.stamet.2013.08.007)

King, R., Bird, S. M., Overstall, A., Hay, G. and Hutchinson, S. J. (2013) Injecting drug users in Scotland, 2006: listing, number, demography, and opiate-related death-rates. Addiction Research and Theory, 21(3), pp. 235-246. (doi: 10.3109/16066359.2012.706344)

Overstall, A. M. and Woods, D. C. (2013) A strategy for Bayesian inference for computationally expensive models with application to the estimation of stem cell properties. Biometrics, 69(2), pp. 458-468. (doi: 10.1111/biom.12017)

Forster, J. J., Gill, R. C. and Overstall, A. M. (2012) Reversible jump methods for generalised linear models and generalised linear mixed models. Statistics and Computing, 22(1), pp. 107-120. (doi: 10.1007/s11222-010-9210-3)

Overstall, A. M. and Forster, J. J. (2010) Default Bayesian model determination methods for generalised linear mixed models. Computational Statistics and Data Analysis, 54(12), pp. 3269-3288. (doi: 10.1016/j.csda.2010.03.008)

Research Reports or Papers

Overstall, A. M., Woods, D. C. and Parker, B. M. (2015) Bayesian Optimal Design for Ordinary Differential Equation Models. Working Paper. University of Glasgow. (Unpublished)

Overstall, A. and Woods, D. (2015) The approximate coordinate exchange algorithm for Bayesian optimal design of experiments. Working Paper. University of Glasgow, Glasgow, UK. (Unpublished)

This list was generated on Wed Sep 22 00:17:54 2021 BST.