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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 gianna.monti@unimib.it |
♦ Dr. Michail Tsagris Department of Economics, University of Crete, Rethymnon, Greece mtsagris@uoc.gr |
Deadline for manuscript submissions: 31 March 2021
Additional information