2 papers
stat.ME2026
An efficient EM algorithm for both element-wise and structural missingness in matrix-variate normal mixture models
Hanzhang Lu, Jeffrey L. Andrews, Ryan P. Browne
Matrix-variate data with missing entries arise frequently in applications where observations are naturally organized as two-dimensional arrays. Although the matrix normal distribut…
stat.ME2026
Mixtures of spatial factor analyzers for tensor-variate data
Hanzhang Lu, Keiran Malott, Kirsty Milligan +9
A mixture of spatial factor analyzers (MSFA) is introduced to address the challenges of clustering high-dimensional spatial data. By leveraging the underlying coordinate system, th…