Bayesian inference for probabilistic risk assessment a practitioner's guidebook

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

Main Author:	Kelly, Dana
Corporate Author:	SpringerLink (Online service)
Other Authors:	Smith, Curtis 1966-
Format:	Electronic Resource
Language:	English
Published:	London, New York Springer c2011
Series:	Springer Series in Reliability Engineering
Subjects:	Risk assessment > Statistical methods. Electronic books.
Online Access:	Available for the University of the Philippines Diliman via SpringerLink. Click here to access