Propagation of uncertainty through the hazard chain

Abstract

DSTL wish to explore methods for propagating uncertainty through a succession of linked models. The Study Group have looked at the particular example of casualty estimation from airbourne dispersion and suggested two different potential solutions. If the structure of the models is sufficiently simple, and the number of degrees of freedom relatively small, a semi-analytical approach based on Bayes’ theorem can be used. In the more general case, intelligent sampling methods can be used to gradually build a picture of likely outcomes.