A cross-validation-based choice of the response residual variance can push joint factor models to learn factors that predict the response, with small empirical gains.
Notes on some aspects of regression analysis
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Targeted empirical Bayes for more supervised joint factor analysis
A cross-validation-based choice of the response residual variance can push joint factor models to learn factors that predict the response, with small empirical gains.