Multivariate sensitivity analysis for dynamic models with both random and random process inputs
type: Item
instance of: scholarly article
title: Multivariate sensitivity analysis for dynamic models with both random and random process inputs
zbMATH Open document ID: 1481.62032
author: LuYi Li
author: Yushan Liu
author: Zhaoyin Shi
author: Pan Wang
published in: Applied Mathematical Modelling
publication date: 2021-09-21T00:00:00Z
Mathematics Subject Classification ID: 62H25
Mathematics Subject Classification ID: 62J20
zbMATH DE Number: 7398071
zbMATH Keywords: multivariate sensitivity analysis
zbMATH Keywords: dynamic model
zbMATH Keywords: singular value decomposition
zbMATH Keywords: Karhunen-Loève expansion
zbMATH Keywords: unscented transformation
describes a project that uses: ElemStatLearn
describes a project that uses: Sparse Grid Interpolation
MaRDI profile type: Publication
full work available at URL: j.apm.2019.12.019
OpenAlex ID: W2994987011
cites work: Time-dependent failure possibility analysis under consideration of fuzzy uncertainty
cites work: Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates
cites work: Sensitivity analysis for multidimensional and functional outputs
cites work: Q4950363
cites work: Q3999499
cites work: Q4834172
cites work: The elements of statistical learning. Data mining, inference, and prediction
cites work: Numerical integration using sparse grids
cites work: High dimensional integration of smooth functions over cubes
cites work: A new method for the nonlinear transformation of means and covariances in filters and estimators
cites work: Some Relations Between Extended and Unscented Kalman Filters
DOI: 10.1016/J.APM.2019.12.019
description: scientific article; zbMATH DE number 7398071