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In this study, a reliable predictive model will be developed under the Bayesian framework.
The quest for information about the constitutive model parameters is phrased as a statistical inverse problem under the Bayesian framework.
Under the Bayesian framework, the finite element (FE) model reduction technique and the system mode concept, this paper presents a practical method for structural bolted-connection damage detection using noisy incomplete modal parameters identified from limited number of sensors.
Among them, the recovery algorithms under the Bayesian framework provide some advantages over other formulations.
In this study, we constructed the objective function of the AVA inversion under the Bayesian framework (Ulrych et al. 2001).
Then, a posterior probability function, which is updated under the Bayesian framework, can be used to represent the calibrated results.
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We also compared several different hypothesis testing methods under either the LASSO or the Bayesian framework to perform QTL inference.
We borrow the term prior from the Bayesian framework, which models decision-making under uncertainty.
DS and JS developed the Bayesian framework and the models.
The Bayesian framework provides the objective interaction methodology.
The Bayesian framework provides a fully probabilistic approach [ 12].
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