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

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 structure, standard EM estimation can be computationa