7 citations · 7 across the 4 of their papers we have counts for
4 papers
Matrix Healy Plot: A Practical Tool for Visual Assessment of Matrix-Variate Normality
Fen Jiang, Jianhua Zhao, Changchun Shang +3
Matrix-valued data, where each observation is represented as a matrix, frequently arises in various scientific disciplines. Modeling such data often relies on matrix-variate normal…
A novel robust meta-analysis model using the 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…
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…
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…