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arXiv · 1206.6818

Sensitivity Analysis for Threshold Decision Making with Dynamic Networks

Theodore Charitos·Linda C. van der Gaag
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Abstract

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 resulting sensitivity functions in our previous work, we now study the effect of parameter inaccuracies on a recommended decision in view of a threshold decision-making model. We detail the effect of varying a single and multiple 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 involved by means of a real-life dynamic network in the field of infectious disease.

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Theodore Charitos, Linda C. van der Gaag. 2012-06-27. Sensitivity Analysis for Threshold Decision Making with Dynamic Networks. https://arxiv.org/abs/1206.6818

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