3 papers
stat.ME2026
The --regression for compositional data: a unified framework for standard, temporal and spatial regression models including compositional predictors
Michail Tsagris, Nader Alharbi, Abdulaziz Alenazi +1
We revisit the --regression framework for compositional data. We formulate --regression as a non--linear least squares problem, study its asymptotic properties, and provide…
stat.ME2026
A Jensen-Shannon divergence based -- algorithm for missing value imputation in compositional data
Michail Tsagris, Connie Stewart, Abdulaziz Alenazi
A novel nonparametric method to impute missing values in compositional data is developed. The method is based on the -- algorithm, utilizes the Jensen-Shannon divergence and…
stat.ME2025
Energy Based Equality of Distributions Testing for Compositional Data
Volkan Sevinc, Michail Tsagris
Not many tests exist for testing the equality for two or more multivariate distributions with compositional data, perhaps due to their constrained sample space. At the moment, ther…