1 citations · 1 across the 5 of their papers we have counts for
5 papers
Modelling compositional data with structural zero values
Omar Alzeley, Michail Tsagris
Compositional data are positive multivariate data whose sum equals 1. A popular method to analyze such data is via log--ratio transformations, which are however not applicable when…
On the generalized circular projected Cauchy distribution
Omar Alzeley, Michail Tsagris
\cite{tsagris2025a} proposed the generalized circular projected Cauchy (GCPC) distribution, whose special case is the wrapped Cauchy distribution. In this paper we first derive the…
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…
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…
Machine Learning Approach and Extreme Value Theory to Correlated Stochastic Time Series with Application to Tree Ring Data
Omar Alzeley, Sadiah Aljeddani
The main goal of machine learning (ML) is to study and improve mathematical models which can be trained with data provided by the environment to infer the future and to make decisi…