Outputs (3)

Exchangeable Computer Models (2009)
Report
House, L., Goldstein, M., & Vernon, I. (2009). Exchangeable Computer Models. MUCM

Analysts often use deterministic computer models to predict the behavior of com- plex physical systems when observational data are limited. However, inferences based partially or entirely on simulated data require adequate assessments of model uncer-... Read More about Exchangeable Computer Models.

Bayes Linear Analysis of Imprecision in Computer Models, with Application to Understanding Galaxy Formation (2009)
Conference Proceeding
Vernon, I. R., & Goldstein, M. (2009). Bayes Linear Analysis of Imprecision in Computer Models, with Application to Understanding Galaxy Formation. In T. Augustin, F. P. A. Coolen, S. Moral, & M. C. M. Troffaes (Eds.), Proceedings of the Sixth International Symposium on Imprecise Probability: Theories and Applications (441-450)

Imprecision arises naturally in the context of computer models and their relation to reality. An imprecise treatment of general computer models is presented, illustrated with an analysis of a complex galaxy formation simulation known as Galform. The... Read More about Bayes Linear Analysis of Imprecision in Computer Models, with Application to Understanding Galaxy Formation.

Galaxy Formation: a Bayesian Uncertainty Analysis (2009)
Report
Vernon, I., Goldstein, M., & Bower, R. G. (2009). Galaxy Formation: a Bayesian Uncertainty Analysis. MUCM

In many scientific disciplines complex computer models are used to understand the behaviour of large scale physical systems. An uncertainty analysis of such a computer model known as Galform is presented. Galform models the creation and evolution of... Read More about Galaxy Formation: a Bayesian Uncertainty Analysis.