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Vector Autoregression, Structural Equation Modeling, and Their Synthesis in Neuroimaging Data Analysis
Vector autoregression (VAR) and structural equation modeling (SEM) are two popular brain-network modeling tools. VAR, which is a data-driven approach, assumes that connected regions exert time-lagged influences on one another. In contrast, the hypothesis-driven SEM is used to validate an existing co...
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| Autores principales: | , , , , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
2011
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3223325/ https://ncbi.nlm.nih.gov/pubmed/21975109 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.compbiomed.2011.09.004 |
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