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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書目詳細資料
主要作者: Kelly, Dana
企業作者: SpringerLink (Online service)
其他作者: Smith, Curtis 1966-
格式: Electronic Resource
語言:英语
出版: London, New York Springer c2011
叢編:Springer Series in Reliability Engineering
主題:
在線閱讀:Available for the University of the Philippines Diliman via SpringerLink. Click here to access