JSM2024
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Topic-Contributed Paper Session

Recent Advances in Uncertainty Quantification and Digital Twin Calibration

Tue, Aug 6, 8:30 AM - 10:20 AM
Qiong ZhangOrganizerWei XieOrganizerWilliam FisherChair
Quality and Productivity Section

4 Presentations

A kernel-based approach for Gaussian process modeling with functional information
8:35 AM - 8:55 AM
Andrew Brown (Clemson University)
Bayesian Prognostic Covariate Adjustment With Additive Mixture Priors
8:55 AM - 9:15 AM
Arman Sabbaghi
Co-authors: Alyssa Vanderbeek, Jessica Ross (Unlearn.AI), Charles Fisher (Unlearn.AI, Inc.), Jon Walsh (Unlearn.ai)
Gaussian Process Models with High Dimensional Inputs
9:15 AM - 9:35 AM
Lulu Kang (University of Massachusetts Amherst)
Digital Twin Calibration with Model-Based Reinforcement Learning
9:35 AM - 9:55 AM
Wei Xie (Northeastern University)
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