“…Sampling-based UQ, or stochastic sampling (SS), has been historically used for nonlinear systems with few correlated parameters [6]. However, currently SS is increasingly applied for all types of UQ, including neutronics, due to its nonintrusive nature [7], flexibility to handle many uncertain parameters [8], theory for nonparametric tolerance intervals (i.e., Wilks' formula), and global sampling of the solution space. In order to implement an SS method, one simply has to sample inputs from their distributions (choosing appropriate distributions is another matter), run the code with each sampled set, and analyze the distribution of outputs.…”