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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Bibliografiska uppgifter
Huvudupphovsman: Kelly, Dana
Institutionell upphovsman: SpringerLink (Online service)
Övriga upphovsmän: Smith, Curtis 1966-
Materialtyp: Electronic Resource
Språk:engelska
Publicerad: London, New York Springer c2011
Serie:Springer Series in Reliability Engineering
Ämnen:
Länkar:Available for the University of the Philippines Diliman via SpringerLink. Click here to access