35 citations · 41 across the 2 of their papers we have counts for
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stat.ME2019
Identifying the Influential Inputs for Network Output Variance Using Sparse Polynomial Chaos Expansion
Zhanlin Liu, Ashis G. Banerjee, Youngjun Choe
Sensitivity analysis (SA) is an important aspect of process automation. It often aims to identify the process inputs that influence the process output's variance significantly. Exi…
stat.ME2018
Cross-Entropy Based Importance Sampling for Stochastic Simulation Models
Quoc Dung Cao, Youngjun Choe
To efficiently evaluate system reliability based on Monte Carlo simulation, importance sampling is used widely. The optimal importance sampling density was derived in 1950s for the…
stat.ME2018
Data-Driven Sensitivity Indices for Models With Dependent Inputs Using the Polynomial Chaos Expansion
Zhanlin Liu, Youngjun Choe
Uncertainties exist in both physics-based and data-driven models. Variance-based sensitivity analysis characterizes how the variance of a model output is propagated from the model…