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Title:

Investigation of likelihood and correlation in bayesian analysis with frequency response data

Document type:
Konferenzbeitrag
Contribution type:
Vortrag / Präsentation
Author(s):
Schneider, F.; Papaioannou, I.; Straub, D.; Müller, G.
Abstract:
Through Bayesian system identification one learns model parameters through measurements of the system’s response. The underlying inverse problem is formulated in a probabilistic setting, and Bayes’ rule is applied to update a prior conjecture on the parameters. In this contribution, we consider linear, time-invariant dynamic systems of second order . Within the Bayesian formulation, the likelihood function expresses probabilistically the misfit between measurements and model response. We define...     »
Keywords:
Bayesian updating, structural dynamics, frequency response function, likelihood function, correlation model
Book / Congress title:
XI International Conference on Structural Dynamics
Congress (additional information):
Eurodyn 2020
Year:
2020
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