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An efficient EM algorithm for both element-wise and structural missingness in matrix-variate normal mixture models

This story is from 2026-09-02. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.00616v1 Announce Type: cross Abstract: Matrix-variate data with missing entries arise frequently in applications where observations are naturally organized as two-dimensional arrays. Although the matrix normal distribution provides a parsimonious model through its Kronecker covariance st…

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  1. 2026-09-02 04:00 · arXiv stat.ML
    An efficient EM algorithm for both element-wise and structural missingness in matrix-variate normal mixture models

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