We use cookies to ensure that we give you the best experience on our website. By continuing to browse this repository, you give consent for essential cookies to be used. You can read more about our Privacy and Cookie Policy.

Durham e-Theses
You are in:

Emulation and calibration with smoothed system and simulator data

Powell, Benedict (2014) Emulation and calibration with smoothed system and simulator data. Doctoral thesis, Durham University.



This thesis is concerned with structuring the statistical model with which we relate physical systems and computer simulators. The novelty of the work lies in the fact that we relate them via imagined smoothed versions of themselves, reflecting the belief that they are similar on large scales but discrepant when in comes to small scale details. Our central, paradigmatic example involves relating the planet’s climate to a climate simulator. Here the simulator is suspected to be incapable of faithfully reproducing changes in the system as time or certain physical parameters are changed by a small amount, but is still considered informative for the changes in the system over long time scales and large parameter changes

Item Type:Thesis (Doctoral)
Award:Doctor of Philosophy
Keywords:Bayesian analysis, emulation, calibration, smoothing.
Faculty and Department:Faculty of Science > Mathematical Sciences, Department of
Thesis Date:2014
Copyright:Copyright of this thesis is held by the author
Deposited On:09 May 2014 10:08

Social bookmarking: del.icio.usConnoteaBibSonomyCiteULikeFacebookTwitter