Choosing the number of factors in factor analysis with incomplete data via a hierarchical Bayesian information criterion

Jianhua Zhao, Changchun Shang, Shulan Li +2

The Bayesian information criterion (BIC), defined as the observed data log likelihood minus a penalty term based on the sample size $N$, is a popular model selection criterion for…