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stat.ME2024
Quantifying Distributional Input Uncertainty via Inflated Kolmogorov-Smirnov Confidence Band
Motong Chen, Henry Lam, Zhenyuan Liu
In stochastic simulation, input uncertainty refers to the propagation of the statistical noise in calibrating input models to impact output accuracy, in addition to the Monte Carlo…
stat.ME2022
Bootstrap in High Dimension with Low Computation
Henry Lam, Zhenyuan Liu
The bootstrap is a popular data-driven method to quantify statistical uncertainty, but for modern high-dimensional problems, it could suffer from huge computational costs due to th…