Bayesian Inference for Probabilistic Risk Assessment A Practitioner's Guidebook /

• 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: Engineering.; Statistics.; Quality control.; Reliability.; Industrial safety.; Quality Control, Reliability, Safety and Risk.; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.

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...