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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| フォーマット: | Electronic Resource |
| 言語: | 英語 |
| 出版事項: |
London, New York
Springer
c2011
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| シリーズ: | Springer Series in Reliability Engineering
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| オンライン･アクセス: | Available for the University of the Philippines Diliman via SpringerLink. Click here to access |