Fen Jiang

activity

20212025

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

7 citations · 7 across the 4 of their papers we have counts for

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Showing 2024Show all

2 papers · 1 filter

stat.ME2024

A novel robust meta-analysis model using the $t$ distribution for outlier accommodation and detection

Yue Wang, Jianhua Zhao, Fen Jiang +2

Random effects meta-analysis model is an important tool for integrating results from multiple independent studies. However, the standard model is based on the assumption of normal…

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…

A novel robust meta-analysis model using the t distribution for outlier accommodation and detection

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

A novel robust meta-analysis model using the $t$ distribution for outlier accommodation and detection

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