Changchun Shang

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20222025

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

2 citations · 2 across the 4 of their papers we have counts for

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stat.ML2024

Robust bilinear factor analysis based on the matrix-variate $t$ distribution

Xuan Ma, Jianhua Zhao, Changchun Shang +2

Factor Analysis based on multivariate $t$ distribution ( $t$ fa) is a useful robust tool for extracting common factors on heavy-tailed or contaminated data. However, $t$ fa is only ap…

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 $N$ , is a popular model selection criterion for…

Robust bilinear factor analysis based on the matrix-variate t distribution

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

Robust bilinear factor analysis based on the matrix-variate $t$ distribution