Dynamic GSCANO (generalized structured canonical correlation analysis) with applications to the analysis of effective connectivity in functional neuroimaging data
type: Item
instance of: scholarly article
title: Dynamic GSCANO (generalized structured canonical correlation analysis) with applications to the analysis of effective connectivity in functional neuroimaging data
zbMATH Open document ID: 1466.62231
author: Lixing Zhou
author: Yoshio Takane
author: Heungsun Hwang
published in: Computational Statistics and Data Analysis
publication date: 2018-08-15T00:00:00Z
Mathematics Subject Classification ID: 62-08
zbMATH DE Number: 6918275
zbMATH Keywords: dynamic generalized structured component analysis (dynamic GSCA)
zbMATH Keywords: structural equation modeling (SEM)
zbMATH Keywords: longitudinal and time series data
zbMATH Keywords: alternating least squares (ALS) algorithm
zbMATH Keywords: fMRI (functional magnetic resonance imaging) data
zbMATH Keywords: brain connectivity
describes a project that uses: bootstrap
describes a project that uses: GeSCA
MaRDI profile type: Publication
full work available at URL: j.csda.2016.03.001
OpenAlex ID: W2294073983
Wikidata QID: Q114671400
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DOI: 10.1016/J.CSDA.2016.03.001
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description: scientific article; zbMATH DE number 6918275