Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5019567 | Reliability Engineering & System Safety | 2017 | 30 Pages |
Abstract
The study takes into account in exact manner both variability and uncertainty. A novel Approximate Bayesian Computation (ABC) methodology is introduced for the quantification of uncertainty, i.e. the sampling of the posterior distribution of the parameters of the model. At the price of the discretization of this distribution, the methodology represents a quickly implemented option in problems where standard ABC rejection sampling is unacceptably inefficient.
Keywords
Related Topics
Physical Sciences and Engineering
Engineering
Mechanical Engineering
Authors
Paolo Mason,