129 citations · 222 across the 25 of their papers we have counts for
28 papers
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…
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 e…
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…
Circular and Spherical Projected Cauchy Distributions: A Novel Framework for Circular and Directional Data Modeling
Michail Tsagris, Omar Alzeley
We introduce a novel family of projected distributions on the circle and the sphere, namely the circular and spherical projected Cauchy distributions, as promising alternatives for…
Cauchy robust principal component analysis with applications to high-deimensional data sets
Ayisha Fayomi, Yannis Pantazis, Michail Tsagris +1
Principal component analysis (PCA) is a standard dimensionality reduction technique used in various research and applied fields. From an algorithmic point of view, classical PCA ca…
Inference for Network Count Time Series with the R Package PNAR
Mirko Armillotta, Michail Tsagris, Konstantinos Fokianos
We introduce a new R package useful for inference about network count time series. Such data are frequently encountered in statistics and they are usually treated as multivariate t…