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...
| Main Author: | |
|---|---|
| Corporate Author: | |
| Other Authors: | |
| Format: | Electronic Resource |
| Language: | English |
| Published: |
London, New York
Springer
c2011
|
| Series: | Springer Series in Reliability Engineering
|
| Subjects: | |
| Online Access: | Available for the University of the Philippines Diliman via SpringerLink. Click here to access |


