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RISUncertainty Segregation and Comparative Evaluation in Groundwater Remediation Designs: A Chance-Constrained Hierarchical Bayesian Model Averaging Approach
Publisher: American Society of Civil Engineers
Abstract: Groundwater remediation designs rely on simulation models that are subjected to various sources of uncertainty. This study introduces a hierarchical Bayesian model averaging (HBMA) method to segregate sources of uncertainty ...
Bayesian Artificial Intelligence Model Averaging for Hydraulic Conductivity Estimation
Publisher: American Society of Civil Engineers
Abstract: This research presents a Bayesian artificial intelligence model averaging (BAIMA) method that incorporates multiple artificial intelligence (AI) models to estimate hydraulic conductivity and evaluate estimation uncertainties. ...