期刊
SIAM-ASA JOURNAL ON UNCERTAINTY QUANTIFICATION
卷 4, 期 1, 页码 266-297出版社
SIAM PUBLICATIONS
DOI: 10.1137/15M1008245
关键词
global sensitivity analysis; parameter selection; verificatio
资金
- Air Force Office of Scientific Research (AFOSR) [AFOSR FA9550-11-1-0152, AFOSR FA9550-12-1-0188]
We consider parameter selection and verification techniques for models having one or more parameters that are rioninfluential in the sense that they minimally impact model outputs. We illustrate these techniques for a dynamic HIV model but note that the parameter selection and verification framework is applicable to a wide range of biological and physical models. To accommodate the nonlinear input to output relations, which are typical for such models, we focus on global sensitivity analysis techniques, including those based On the Pearson correlatiori coefficient, Sobol indices based on second-order model representations, and Morris indices, as well as a parameter selection technique based on standard errors. A significant objective is to provide verification strategies to assess the accuracy of those techniques, which we illustrate in the context of the HIV model.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据