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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Detalhes bibliográficos
Autor principal: Kelly, Dana
Autor Corporativo: SpringerLink (Online service)
Outros Autores: Smith, Curtis 1966-
Formato: Electronic Resource
Idioma:English
Publicado em: London, New York Springer c2011
coleção:Springer Series in Reliability Engineering
Assuntos:
Acesso em linha:Available for the University of the Philippines Diliman via SpringerLink. Click here to access