3 papers
stat.ML2024
Sensitivity Analysis on Policy-Augmented Graphical Hybrid Models with Shapley Value Estimation
Junkai Zhao, Wei Xie, Jun Luo
Driven by the critical challenges in biomanufacturing, including high complexity and high uncertainty, we propose a comprehensive and computationally efficient sensitivity analysis…
stat.ME2024
Sensitivity Analysis on Interaction Effects of Policy-Augmented Bayesian Networks
Junkai Zhao, Jun Luo, Wei Xie +1
Biomanufacturing plays an important role in supporting public health and the growth of the bioeconomy. Modeling and studying the interaction effects among various input variables i…
stat.ML2024
Linear Noise Approximation Assisted Bayesian Inference on Mechanistic Model of Partially Observed Stochastic Reaction Network
Wandi Xu, Wei Xie
To support mechanism online learning and facilitate digital twin development for biomanufacturing processes, this paper develops an efficient Bayesian inference approach for partia…