Additional Topics

Dana Kelly () and Curtis Smith ()
Additional contact information
Dana Kelly: Idaho National Laboratory (INL)
Curtis Smith: Idaho National Laboratory (INL)

Chapter Chapter 13 in Bayesian Inference for Probabilistic Risk Assessment, 2011, pp 177-199 from Springer

Abstract: 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.

Keywords: Bayesian Inference; Stress Corrosion Crack; Credible Interval; Beta Distribution; Generalize Extreme Value (search for similar items in EconPapers)
Date: 2011
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:ssrchp:978-1-84996-187-5_13

Ordering information: This item can be ordered from
http://www.springer.com/9781849961875

DOI: 10.1007/978-1-84996-187-5_13

Access Statistics for this chapter

More chapters in Springer Series in Reliability Engineering from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().