Variance-based sensitivity analysis for time-dependent processes
Computation
2019-11-05 v3
Abstract
The global sensitivity analysis of time-dependent processes requires history-aware approaches. We develop for that purpose a variance-based method that leverages the correlation structure of the problems under study and employs surrogate models to accelerate the computations. The errors resulting from fixing unimportant uncertain parameters to their nominal values are analyzed through a priori estimates. We illustrate our approach on a harmonic oscillator example and on a nonlinear dynamic cholera model.
Cite
@article{arxiv.1711.08030,
title = {Variance-based sensitivity analysis for time-dependent processes},
author = {Alen Alexanderian and Pierre A. Gremaud and Ralph C. Smith},
journal= {arXiv preprint arXiv:1711.08030},
year = {2019}
}
Comments
28 Pages; revised version; accepted for publication in Reliability Engineering & System Safety