Hierarchical Bayes Models for Variability

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

Chapter Chapter 7 in Bayesian Inference for Probabilistic Risk Assessment, 2011, pp 67-88 from Springer

Abstract: Abstract This chapter discusses the Bayesian framework for expanding common likelihood functions introduced in earlier chapters to include additional variability. This variability can be over time, among sources, etc.

Keywords: Posterior Distribution; Credible Interval; Loglinear Model; Event Count; Joint Posterior Distribution (search for similar items in EconPapers)
Date: 2011
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Persistent link: https://EconPapers.repec.org/RePEc:spr:ssrchp:978-1-84996-187-5_7

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DOI: 10.1007/978-1-84996-187-5_7

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