Outputs (5)

Galaxy Formation: a Bayesian Uncertainty Analysis (2010)
Journal Article
Vernon, I., Goldstein, M., & Bower, R. G. (2010). Galaxy Formation: a Bayesian Uncertainty Analysis. Bayesian Analysis, 05(04), 619-670. https://doi.org/10.1214/10-ba524

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

Rejoinder - Galaxy Formation: a Bayesian Uncertainty Analysis (2010)
Journal Article
Vernon, I., Goldstein, M., & Bower, R. G. (2010). Rejoinder - Galaxy Formation: a Bayesian Uncertainty Analysis. Bayesian Analysis, 05(04), 697-708. https://doi.org/10.1214/10-ba524rej

We thank the discussants David Poole, Pritam Ranjan, Earl Lawrence, David Higdon, and David van Dyk for their commentaries on our paper, and for raising many interesting points for discussion, ranging from practical questions related to the imple- me... Read More about Rejoinder - Galaxy Formation: a Bayesian Uncertainty Analysis.

Modular Dynamic Emulation and Internal Model Discrepancy for a Rainfall Runoff Model (2010)
Report
Vernon, I., Seheult, A., & Goldstein, M. (2010). Modular Dynamic Emulation and Internal Model Discrepancy for a Rainfall Runoff Model. MUCM

We construct a simple modular dynamic emulator for a rainfall runoff model. We investigate the accuracy of such an emulator and discuss the difficulties of such an approach. The emulator is used to investigate the effects of certain internal uncertai... Read More about Modular Dynamic Emulation and Internal Model Discrepancy for a Rainfall Runoff Model.

The Parameter Space of Galaxy Formation (2010)
Journal Article
Bower, R., Vernon, I., Goldstein, M., Benson, A., Lacey, C., Baugh, C., …Frenk, C. (2010). The Parameter Space of Galaxy Formation. Monthly Notices of the Royal Astronomical Society, 407(4), 2017-2045. https://doi.org/10.1111/j.1365-2966.2010.16991.x

Semi-analytic models are a powerful tool for studying the formation of galaxies. However, these models inevitably involve a significant number of poorly constrained parameters that must be adjusted to provide an acceptable match to the observed Unive... Read More about The Parameter Space of Galaxy Formation.

A Bayes Linear Approach to Systems Biology (2010)
Report
Vernon, I. R., & Goldstein, M. (2010). A Bayes Linear Approach to Systems Biology. MUCM

As post-genomic biology becomes more predictive, the inference of rate parameters that feature in both genetic and biochemical networks becomes increasingly important. Here we present a novel methodology for inference of such parameters in the case o... Read More about A Bayes Linear Approach to Systems Biology.