36 citations · 39 across the 6 of their papers we have counts for
10 papers · 1 filter
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…
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…
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…
Computationally efficient univariate filtering for massive data
M. Tsagris, A. Alenazi, S. Fafalios
The vast availability of large scale, massive and big data has increased the computational cost of data analysis. One such case is the computational cost of the univariate filterin…
Hypothesis testing for two population means: parametric or non-parametric test?
Michail Tsagris, Abdulaziz Alenazi, Kleio-Maria Verrou +1
The parametric Welch -test and the non-parametric Wilcoxon-Mann-Whitney test are the most commonly used two independent sample means tests. More recent testing approaches includ…
Extremely efficient permutation and bootstrap hypothesis tests using R
Christina Chatzipantsiou, Marios Dimitriadis, Manos Papadakis +1
Re-sampling based statistical tests are known to be computationally heavy, but reliable when small sample sizes are available. Despite their nice theoretical properties not much ef…