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 Authors: | Kelly, Dana (Author), Smith, Curtis (Author) |
|---|---|
| Corporate Author: | SpringerLink (Online service) |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
London :
Springer London,
2011.
|
| Series: | Springer Series in Reliability Engineering,
|
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
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