CoDa-special issue in Stats


This Special Issue aims to provide an overview of ongoing research in compositional data analysis. The novelty of contributions may lie in either the methodologies employed or the unique and innovative application of such methodologies to this kind of data that provides new and significant empirical insights. Topics of interest include regression, time series, classification, and variable selection algorithms for long and/or wide-formatted compositional data.


Guest Editors:

♦   Dr. Gianna S. Monti

  Department of Economics,

  Management and Statistics,

  University of Milano Bicocca, Italy

♦   Dr. Michail Tsagris

  Department of Economics,

  University of Crete, Rethymnon,



Deadline for manuscript submissions: 31 March 2021

Additional information