Hierarchical Bayesian Reliability Analysis of Complex Dynamical Systems

@inproceedings{TON2010HierarchicalBR,
  title={Hierarchical Bayesian Reliability Analysis of Complex Dynamical Systems},
  author={GABRIELA TON and REANU and Mihai Munteanu and Dan Ton},
  year={2010}
}
  • GABRIELA TON, REANU, +1 author Dan Ton
  • Published 2010
The Bayesian methods provide additional information about the meaningful parameters in a statistical analysis obtained by combining the prior and sampling distributions to form the posterior distribution of the parameters. The desired inferences are obtained from this joint posterior. An estimation strategy for hierarchical models, where the resulting joint distribution of the associated model parameters cannot be evaluated analytically, is to use sampling algorithms, known as Markov Chain… CONTINUE READING

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