Dynamic GSCA (generalized structured component analysis) with applications to the analysis of effective connectivity in functional neuroimaging data

DOI10.1007/s11336-012-9284-2zbMath1284.62718OpenAlexW2158080410WikidataQ114689084 ScholiaQ114689084MaRDI QIDQ692423

Kwanghee Jung, Todd S. Woodward, Heungsun Hwang, Yoshio Takane

Publication date: 5 December 2012

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11336-012-9284-2

zbMATH Keywords

alternating least squares (ALS) algorithmfunctional neuroimagingeffective connectivitygeneralized structured component analysis (GSCA)longitudinal and time series datamodified moving block bootstrap methodstructural equation modeling (SEM)

Mathematics Subject Classification ID

Applications of statistics to psychology (62P15)

Related Items (3)

Multilevel dynamic generalized structured component analysis for brain connectivity analysis in functional neuroimaging data ⋮ Dynamic GSCANO (generalized structured canonical correlation analysis) with applications to the analysis of effective connectivity in functional neuroimaging data ⋮ A comparative evaluation of factor‐ and component‐based structural equation modelling approaches under (in)correct construct representations

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