Computing Shapley Effects for Sensitivity Analysis

Understand

Shapley effects are attracting increasing attention as sensitivity measures.

• When the value function is the conditional variance, they account for the individual and higher order effects of a model input.
• They are also well defined under model input dependence.
• However, one of the issues associated with their use is computational cost.