Parametric Lie group structures on the probabilistic simplex and generalized Compositional Data
Statistics Theory
2022-06-10 v2 Statistics Theory
Abstract
In this paper we build a set of parametric quotient Lie group structures on the probabilistic simplex that can be extended to real vector space structures. In particular, we rediscover the main mathematical objects generally used when treating compositional data as elements associated to the quotient Lie group with respect to the equivalence relation induced by the scale invariance principle. This perspective facilitates the adaptation of the statistical methods used for classical compositional data to data that follows a more general equivalence relation.
Cite
@article{arxiv.2206.03774,
title = {Parametric Lie group structures on the probabilistic simplex and generalized Compositional Data},
author = {Petre Birtea and Ioana Gavra},
journal= {arXiv preprint arXiv:2206.03774},
year = {2022}
}