3 papers
stat.ME2025
Scalable approximation of the transformation-free linear simplicial-simplicial regression via constrained iterative reweighted least squares
Michail Tsagris, Omar Alzeley
Simplicia-simplicial regression concerns statistical modeling scenarios in which both the predictors and the responses are vectors constrained to lie on the simplex. \cite{fiksel20…
stat.ME2025
Simplicial clustering using the --transformation
Michail Tsagris, Nikolaos Kontemeniotis
We introduce two simplicial clustering approaches for compositional data, that are adaptations of the --means and of the Gaussian mixture models algorithms, by employing the …
stat.ME2024
Directional data analysis using the spherical Cauchy and the Poisson kernel-based distribution
Michail Tsagris, Panagiotis Papastamoulis, Shogo Kato
In 2020, two novel distributions for the analysis of directional data were introduced: the spherical Cauchy distribution and the Poisson kernel-based distribution. This paper provi…