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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Détails bibliographiques

Auteur principal:	Kelly, Dana
Collectivité auteur:	SpringerLink (Online service)
Autres auteurs:	Smith, Curtis 1966-
Format:	Electronic Resource
Langue:	English
Publié:	London, New York Springer c2011
Collection:	Springer Series in Reliability Engineering
Sujets:	Risk assessment > Statistical methods. Electronic books.
Accès en ligne:	Available for the University of the Philippines Diliman via SpringerLink. Click here to access