In factor analysis, the issue of what names to give to the extracted factors is not only a technical statistical problem but ...
Bayesian factor analysis offers a probabilistic framework for uncovering latent structure in datasets where the number of observed variables greatly exceeds the sample size. By positing that ...
In the era of data explosion, statisticians have been developing interpretable and computationally efficient statistical methods to measure latent factors (e.g. skills, abilities, and personalities) ...
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