Browsing by Subject "Stopping criterion"

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Partially Bayesian active learning cubature for structural reliability analysis with extremely small failure probabilities

Dang, Chao; Faes, Matthias G.R.; Valdebenito, Marcos A.; Wei, Pengfei; Beer, Michael (Amsterdam [u.a.] : Elsevier Science, 2024)

The Bayesian failure probability inference (BFPI) framework provides a well-established Bayesian approach to quantifying our epistemic uncertainty about the failure probability resulting from a limited number of performance ...
Semi-Bayesian active learning quadrature for estimating extremely low failure probabilities

Dang, Chao; Beer, Michael (London [u.a.] : Elsevier Science, 2024)

The Bayesian failure probability inference (BFPI) framework provides a sound basis for developing new Bayesian active learning reliability analysis methods. However, it is still computationally challenging to make use of ...

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