Emerging areas in Stochastic Simulation

Approximating data-driven joint chance constrained programs via uncertainty set construction

Input uncertainty and indifference-zone ranking and selection

Robust simulation of stochastic systems with input uncertainties modeled by statistical divergences

Linking estimation and performance evaluation through simulation

Robust selection of the best