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stat.ML2024
Robust bilinear factor analysis based on the matrix-variate distribution
Xuan Ma, Jianhua Zhao, Changchun Shang +2
Factor Analysis based on multivariate distribution (fa) is a useful robust tool for extracting common factors on heavy-tailed or contaminated data. However, fa is only ap…
stat.ML2021★ 7 cited
Robust factored principal component analysis for matrix-valued outlier accommodation and detection
Xuan Ma, Jianhua Zhao, Yue Wang
Principal component analysis (PCA) is a popular dimension reduction technique for vector data. Factored PCA (FPCA) is a probabilistic extension of PCA for matrix data, which can su…