Decision-theoretic reliability sensitivity
Optimization and Control
2021-12-03 v2 Statistics Theory
Statistics Theory
Abstract
We propose and discuss sensitivity metrics for reliability analysis, which are based on the value of information. These metrics are easier to interpret than other existing sensitivity metrics in the context of a specific decision and they are applicable to any type of reliability assessment, including those with dependent inputs. We develop computational strategies that enable efficient evaluation of these metrics, in some scenarios without additional runs of the deterministic model. The metrics are investigated by application to numerical examples.
Cite
@article{arxiv.2104.00986,
title = {Decision-theoretic reliability sensitivity},
author = {Daniel Straub and Max Ehre and Iason Papaioannou},
journal= {arXiv preprint arXiv:2104.00986},
year = {2021}
}