Outputs (7)

Evaluation of Regions of Influence for Dimensionality Reduction in Emulation of Production Data (2018)
Presentation / Conference Contribution
Ferreira, C., Avansi, G., Vernon, I., Schiozer, D., & Goldstein, M. (2018, September). Evaluation of Regions of Influence for Dimensionality Reduction in Emulation of Production Data. Presented at ECMOR XVI - 16th European Conference on the Mathematics of Oil Recovery, Barcenola, Spain

Oil and gas companies use reservoir simulation models for production forecasting and for business and technical decisions at the various stages of field management. The size and complexity of the reservoirs often requires reservoir models with a high... Read More about Evaluation of Regions of Influence for Dimensionality Reduction in Emulation of Production Data.

Choice of time horizon critical in estimating costs and effects of changes to HIV programmes (2018)
Journal Article
McCreesh, N., Andrianakis, I., Nsubuga, R. N., Strong, M., Vernon, I., McKinley, T. J., Oakley, J. E., Goldstein, M., Hayes, R., & White, R. G. (2018). Choice of time horizon critical in estimating costs and effects of changes to HIV programmes. PLoS ONE, 13(5), Article e0196480. https://doi.org/10.1371/journal.pone.0196480

Background: Uganda changed its antiretroviral therapy guidelines in 2014, increasing the CD4 threshold for antiretroviral therapy initiation from 350 cells/μl to 500 cells/μl. We investigate what effect this change in policy is likely to have on HIV... Read More about Choice of time horizon critical in estimating costs and effects of changes to HIV programmes.

Emulation of reservoir production forecast considering variation in petrophysical properties (2018)
Journal Article
Moreno, R., Avansi, G., Schiozer, D., Vernon, I., Goldstein, M., & Caiado, C. (2018). Emulation of reservoir production forecast considering variation in petrophysical properties. Journal of Petroleum Science and Engineering, 165, 711-725. https://doi.org/10.1016/j.petrol.2018.02.056

Implementation of proxy models, such as emulators might reduce the computational time required in a variety of reservoir simulation studies. By definition, an emulator uses reservoir properties as input parameters in a statistical model constructed f... Read More about Emulation of reservoir production forecast considering variation in petrophysical properties.

Approximate Bayesian Computation and simulation-based inference for complex stochastic epidemic models (2018)
Journal Article
McKinley, T., Vernon, I., Andrianakis, I., McCreesh, N., Oakley, J., Nsubuga, R., …White, R. (2018). Approximate Bayesian Computation and simulation-based inference for complex stochastic epidemic models. Statistical Science, 33(1), 4-18. https://doi.org/10.1214/17-sts618

Approximate Bayesian Computation (ABC) and other simulation-based inference methods are becoming increasingly used for inference in complex systems, due to their relative ease-of-implementation. We briefly review some of the more popular variants of... Read More about Approximate Bayesian Computation and simulation-based inference for complex stochastic epidemic models.

Bayesian uncertainty analysis establishes the link between the parameter space of a complex model of hormonal crosstalk in Arabidopsis root development and experimental measurements [preprint] (2018)
Journal Article
Jackson, S. E., Vernon, I., Liu, J., & Lindsey, K. Bayesian uncertainty analysis establishes the link between the parameter space of a complex model of hormonal crosstalk in Arabidopsis root development and experimental measurements [preprint]. Manuscript submitted for publication

Bayesian uncertainty analysis for complex systems biology models: emulation, global parameter searches and evaluation of gene functions (2018)
Journal Article
Vernon, I., Liu, J., Goldstein, M., Rowe, J., Topping, J., & Lindsey, K. (2018). Bayesian uncertainty analysis for complex systems biology models: emulation, global parameter searches and evaluation of gene functions. BMC systems biology, 12, Article 1. https://doi.org/10.1186/s12918-017-0484-3

Many mathematical models have now been employed across every area of systems biology. These models increasingly involve large numbers of unknown parameters, have complex structure which can result in substantial evaluation time relative to the needs... Read More about Bayesian uncertainty analysis for complex systems biology models: emulation, global parameter searches and evaluation of gene functions.

Uncertainty Analysis for Heavy Simulations of Galaxy Formation (2018)
Journal Article
Vernon, I. (2018). Uncertainty Analysis for Heavy Simulations of Galaxy Formation

Extremely complex simulations of the universe are now being performed in order to study galaxy formation. The responsible use of such simulations presents a huge challenge as it requires a comprehensive uncertainty analysis: a seemingly impossible ta... Read More about Uncertainty Analysis for Heavy Simulations of Galaxy Formation.