Shapley-Owen interaction indices in bioprocess Bayesian network models can be estimated efficiently with a non-nested estimator and sequential budget allocation, with lower mean squared error than equal-allocation nested simulation.
Non-nested estimators for the central moments of a conditional expectation and their convergence properties
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Sensitivity Analysis on Interaction Effects of Policy-Augmented Bayesian Networks
Shapley-Owen interaction indices in bioprocess Bayesian network models can be estimated efficiently with a non-nested estimator and sequential budget allocation, with lower mean squared error than equal-allocation nested simulation.