ARC framework models high-dimensional compositional data with exact zeros by treating compositions as directions of latent vectors with an explicit active-set process on the hypersphere.
arXiv preprint arXiv:2208.13073 , year =
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A review consolidating zero-handling methods for compositional count data, critiquing log-ratio assumptions, and comparing imputation strategies adapted to discrete zero-inflated counts.
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Composition as Direction: An Active-Set Ray-Based Model for Sparse High-Dimensional Compositional Data
ARC framework models high-dimensional compositional data with exact zeros by treating compositions as directions of latent vectors with an explicit active-set process on the hypersphere.
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A critical comparison of handling zeros in high-dimensional compositional count data
A review consolidating zero-handling methods for compositional count data, critiquing log-ratio assumptions, and comparing imputation strategies adapted to discrete zero-inflated counts.