Browsing by Author "b421087c-8bd3-4628-968b-4c7f502206e8"

Browsing by Author "b421087c-8bd3-4628-968b-4c7f502206e8"

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  • Kitahara, M.; Kitahara, T.; Bi, S.; Broggi, M.; Beer, M. ([Erscheinungsort nicht ermittelbar] : Taylor & Francis, 2023)
    In stochastic model updating, hybrid uncertainties are typically characterized by the distributional p-box. It assigns a certain probability distribution to model parameters and assumes its hyper-parameters as interval ...
  • Grashorn, J.; Broggi, M.; Chamoin, L.; Beer, M. ([Erscheinungsort nicht ermittelbar] : Taylor & Francis, 2023)
    Accurate parameter estimation is a challenging task that demands realistic models and algorithms to obtain the parameter’s probability distributions. The Bayesian theorem in conjunction with sampling methods proved to be ...