Sensitivity Analysis for Threshold Decision Making with Dynamic Networks
نویسندگان
چکیده
The effect of inaccuracies in the parameters of a dynamic Bayesian network can be investigated by subjecting the network to a sensitivity analysis. Having detailed the sensitivity functions involved in our previous work, we now study the effect of parameter inaccuracies on a recommended decision in view of a threshold decisionmaking model. We describe the effect of varying one or more parameters from a conditional probability table and present a computational procedure for establishing bounds between which assessments for these parameters can be varied without inducing a change in the recommended decision. We illustrate the various concepts by means of a real-life dynamic network in the field of infectious disease.
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عنوان ژورنال:
- CoRR
دوره abs/1206.6818 شماره
صفحات -
تاریخ انتشار 2006