Stats4Grads: An Introduction to Info-Gap
28 April 2010 14:15 in CM221
Info-gap theory is a decision theory that aims to optimise robustness to failure. An info-gap analysis allows one to be more uncertain than in classical decision theory and yet perform to at least a minimum specified level.
An illustrative example, concerning unknown infectious diseases in livestock passing through customs, will be used to demonstrate the info-gap approach.
Contact thomai.tsiftsi(@)durham.ac.uk for more information
See the Stats4Grads page for more details about this series.