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Additional Topics

In: Bayesian Inference for Probabilistic Risk Assessment

Author

Listed:
  • Dana Kelly

    (Idaho National Laboratory (INL))

  • Curtis Smith

    (Idaho National Laboratory (INL))

Abstract

This chapter introduces some aditional topics that are of a more specialized or advanced nature. This chapter begins by introducing Bayesian inference for extreme value processes, such as might be used to model high winds and flooding. It then gives an overview of the Bayesian treatment of expert opinion, and then proceeds to an example pointing out the pitfalls that can be encountered if ad hoc methods are employed. We next illustrate how to encode prior distributions into OpenBUGS that are not included as predefined distribution choices. We close this chapter with an example of Bayesian inference for a time-dependent Markov model of pipe rupture.

Suggested Citation

  • Dana Kelly & Curtis Smith, 2011. "Additional Topics," Springer Series in Reliability Engineering, in: Bayesian Inference for Probabilistic Risk Assessment, chapter 0, pages 177-199, Springer.
    • Handle: RePEc:spr:ssrchp:978-1-84996-187-5_13
    DOI: 10.1007/978-1-84996-187-5_13
    as

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