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20112024
most citedA data-based power transformation for compositional data

36 citations · 39 across the 6 of their papers we have counts for

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10 papers · 1 filter

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.ME2024

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…

stat.ME2022

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…

stat.ME20201 cited

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…

stat.ME2018

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…

stat.ME2018

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…