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RISHamiltonian Monte Carlo and Borrowing Strength in Hierarchical Inverse Problems
Publisher: American Society of Civil Engineers
Abstract: Bayesian approaches to uncertainty quantification and information acquisition in hierarchically defined inverse problems are presented. The techniques comprise simple updating, staged estimation, and multilevel model ...
Hamiltonian Monte Carlo and Borrowing Strength in Hierarchical Inverse Problems
Publisher: American Society of Civil Engineers
Abstract: Bayesian approaches to uncertainty quantification and information acquisition in hierarchically defined inverse problems are presented. The techniques comprise simple updating, staged estimation, and multilevel model ...
Numerical Investigations into the Value of Information in Lifecycle Analysis of Structural Systems
Publisher: American Society of Civil Engineers
Abstract: Preposterior analysis can be used to assess the potential of an experiment to enhance decision-making by providing information on parameters of the decision problem that are surrounded by epistemic uncertainties. The present ...
Numerical Investigations into the Value of Information in Lifecycle Analysis of Structural Systems
Publisher: American Society of Civil Engineers
Abstract: Preposterior analysis can be used to assess the potential of an experiment to enhance decision-making by providing information on parameters of the decision problem that are surrounded by epistemic uncertainties. The present ...
Polynomial Chaos Expansion Models for the Monitoring of Structures under Operational Variability
Publisher: American Society of Civil Engineers
Uncertainty-Aware Multifidelity Surrogate Modeling with Noisy Data
Publisher: American Society of Civil Engineers
Abstract: Emulating high-accuracy computationally expensive models is crucial for tasks requiring numerous model evaluations, such as uncertainty quantification and optimization. When lower-fidelity models are available, they can ...