Applying non-negative matrix factorization with covariates to structural equation modeling for blind input-output analysis
Analysis
This article likely presents a novel methodological approach. It combines non-negative matrix factorization (NMF) with structural equation modeling (SEM) and incorporates covariates. The focus is on blind input-output analysis, suggesting applications in areas where the underlying processes are not fully observable. The use of ArXiv indicates it's a pre-print, meaning it's not yet peer-reviewed.
Key Takeaways
Reference
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