MUCM: Managing Uncertainty in Complex Models

Responsible KEG Investigator:
Dr Dan Cornford

Project Collaborator(s):

  • University of Southampton
  • Sheffield University
  • London School of Economics
  • Durham University
Type of Project: Consortium Grant

Funder: RCUK

Date Commissioned: 06/2006
Date Completed: 09/2010

Project Summary
This multi-institution project, led by Tony O'Hagan at Sheffield will involve a variety of partners in developing emulator methods to address probabilistic inference in very large complex models. The key task at Aston is to address the issue of dimension reduction for the treatment of large, complex models. We will explore a variety of approaches, from statistics, physics, maths, machine learning and computer science.
See the MUCM project web site for more details.