Three new sensitivity analysis methods for influence diagrams
  Performing sensitivity analysis for influence diagrams using the decision
circuit framework is particularly convenient, since the partial derivatives
with respect to every parameter are readily available [Bhattacharjya and
Shachter, 2007; 2008]. In this paper we present three non-linear sensitivity
analysis methods that utilize this partial derivative information and therefore
do not require re-evaluating the decision situation multiple times.
Specifically, we show how to efficiently compare strategies in decision
situations, perform sensitivity to risk aversion and compute the value of
perfect hedging [Seyller, 2008].
