Advances in Multivariate Compositional Data Analysis
Conference
Abstract
This session, organized under the auspices of the Italian Statistical Society, explores cutting-edge methodological and computational developments in the analysis of compositional data (CoDa). As the complexity of high-dimensional data grows across scientific disciplines, the need for multivariate techniques that respect the geometric structure of the simplex becomes increasingly critical. By bridging theoretical innovation with practical application, this session aims to provide new insights into the efficient processing and interpretation of multivariate data in constrained spaces.