Uncertainty in Artificial Intelligence
First Name   Last Name   Password   Forgot Password   Log in!
    Proceedings   Proceeding details   Article details         Authors         Search    
Sensitivity Analysis for Threshold Decision Making with Dynamic Networks
Theodore Charitos, Linda van der Gaag
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.
Pages: 72-79
PS Link:
PDF Link: /papers/06/p72-charitos.pdf
AUTHOR = "Theodore Charitos and Linda van der Gaag",
TITLE = "Sensitivity Analysis for Threshold Decision Making with Dynamic Networks",
BOOKTITLE = "Proceedings of the Twenty-Second Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-06)",
ADDRESS = "Arlington, Virginia",
YEAR = "2006",
PAGES = "72--79"

hosted by DSL   •   site info   •   help