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stat.ME2025
Casewise and Cellwise Robust Multilinear Principal Component Analysis
Mehdi Hirari, Fabio Centofanti, Mia Hubert +1
Multilinear Principal Component Analysis (MPCA) is an important tool for analyzing tensor data. It performs dimension reduction similar to PCA for multivariate data. However, stand…
stat.ME2023★ 3 cited
MacroPARAFAC for handling rowwise and cellwise outliers in incomplete multi-way data
Mia Hubert, Mehdi Hirari
Multi-way data extend two-way matrices into higher-dimensional tensors, often explored through dimensional reduction techniques. In this paper, we study the Parallel Factor Analysi…