Modelling structural zeros in compositional data via a zero-censored multivariate normal model
Methodology
2022-08-30 v1
Abstract
We present a new model for analyzing compositional data with structural zeros. Inspired by \cite{butler2008} who suggested a model in the presence of zero values in the data we propose a model that treats the zero values in a different manner. Instead of projecting every zero value towards a vertex, we project them onto their corresponding edge and fit a zero-censored multivariate model.
Cite
@article{arxiv.2208.13073,
title = {Modelling structural zeros in compositional data via a zero-censored multivariate normal model},
author = {Michail Tsagris},
journal= {arXiv preprint arXiv:2208.13073},
year = {2022}
}