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stat.ME2026
Dimension reduction of compositional data through mixtures of latent source compositions
Hyeon Lee, J. S. Marron, Eric Grunsky +1
Understanding the distribution of mineral compositions is an important challenge in geology. This motivates new variations on dimension reduction for compositional data, lying on a…
stat.ME2026
Robust Estimation of Location in Matrix Manifolds Using the Projected Frobenius Median
Houren Hong, Kassel Liam Hingee, Janice L. Scealy +1
We propose a robust method for location estimation in various matrix manifolds based on the projected Frobenius median, which is closely related to the spatial median. This method…