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RISScalable Fully Bayesian Gaussian Process Modeling and Calibration With Adaptive Sequential Monte Carlo for Industrial Applications
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Gaussian process (GP) regression or kriging has been extensively applied in the engineering literature for the purposes of building a cheap-to-evaluate surrogate, within the contexts of multi-fidelity modeling, model ...
Towards Integrated Design and Operation of Complex Engineering Systems With Predictive Modeling: State-of-the-Art and Challenges
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Growing trends towards increased complexity and prolonged useful lives of engineering systems present challenges for system designers in accounting for the impacts of post-design activities (e.g., manufacturing, condition ...
Advances in Bayesian Probabilistic Modeling for Industrial Applications
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Industrial applications frequently pose a notorious challenge for state-of-the-art methods in the contexts of optimization, designing experiments and modeling unknown physical response. This problem is aggravated by limited ...