Bayesian inference for probabilistic risk assessment [electronic resource] : a practitioner's guidebook / Dana Kelly, Curtis Smith.

Bayesian Inference for Probabilistic Risk Assessment provides a Bayesian foundation for framing probabilistic problems and performing inference on these problems. Inference in the book employs a modern computational approach known as Markov chain Monte Carlo (MCMC). The MCMC approach may be implemen...

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Bibliographic Details

Online Access:	Full Text (via Springer)
Main Author:	Kelly, D. L. (Dana L.)
Other Authors:	Smith, Curtis, 1966-
Format:	Electronic eBook
Language:	English
Published:	London ; New York : Springer, ©2011.
Series:	Springer series in reliability engineering.
Subjects:	Risk assessment > Statistical methods.