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...

全面介绍

书目详细资料
主要作者: Kelly, Dana
企业作者: SpringerLink (Online service)
其他作者: Smith, Curtis 1966-
格式: Electronic Resource
语言:英语
出版: London, New York Springer c2011
丛编:Springer Series in Reliability Engineering
主题:
在线阅读:Available for the University of the Philippines Diliman via SpringerLink. Click here to access