Quantifying Experts’ Uncertainty About the Future Cost of Exotic Diseases
(2011)
Journal Article
Gosling, J. P., Hart, A., Mouat, D. C., Sabirovic, M., Scanlan, S., & Simmons, A. (2011). Quantifying Experts’ Uncertainty About the Future Cost of Exotic Diseases. Risk Analysis, 32, 881-93
Outputs (37)
Development of a framework for evaluation and expression of uncertainties in hazard and risk assessment (2010)
Journal Article
Hart, A., Gosling, J. P., Boobis, A., Coggon, D., Craig, P., & Jones, D. (2010). Development of a framework for evaluation and expression of uncertainties in hazard and risk assessment
Gaussian process emulation for second-order Monte Carlo simulations (2010)
Journal Article
Johnson, J., Gosling, J., & Kennedy, M. (2010). Gaussian process emulation for second-order Monte Carlo simulations. Journal of Statistical Planning and Inference, 141, 1838-48
Gaussian process emulation of dynamic computer codes (2009)
Journal Article
Conti, S., Gosling, J. P., Oakley, J., & O'Hagan, A. (2009). Gaussian process emulation of dynamic computer codes. Biometrika, 96(3), 663-676
Quantifying uncertainty in the biospheric carbon flux for England and Wales (2008)
Journal Article
Kennedy, M., Anderson, C., O'Hagan, A., Lomas, M., Woodward, I., Gosling, J. P., & Heinemeyer, A. (2008). Quantifying uncertainty in the biospheric carbon flux for England and Wales. Journal of the Royal Statistical Society: Series A, 171(1), 109-135
Nonparametric elicitation for heavy-tailed prior distributions (2007)
Journal Article
Gosling, J. P., Oakley, J. E., & O’Hagan, A. (2007). Nonparametric elicitation for heavy-tailed prior distributions. Bayesian Analysis, 2(693-718),
Elicitation: a nonparametric view (2005)
Thesis
Gosling, J. P. (2005). Elicitation: a nonparametric view. (Thesis). University of Sheffield