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most citedRobust factored principal component analysis for matrix-valued outlier accommodation and detection

7 citations · 9 across the 5 of their papers we have counts for

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stat.ML2022★ 2 cited

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 , is a popular model selection criterion for…