Artificial Neural Networks to Impute Rounded Zeros in Compositional Data

@article{Templ2021ArtificialNN,
  title={Artificial Neural Networks to Impute Rounded Zeros in Compositional Data},
  author={Matthias Templ},
  journal={ArXiv},
  year={2021},
  volume={abs/2012.10300}
}
  • M. Templ
  • Published 18 December 2020
  • Computer Science
  • ArXiv
Methods of deep learning have become increasingly popular in recent years, but they have not arrived in compositional data analysis. Imputation methods for compositional data are typically applied on additive, centered, or isometric log-ratio representations of the data. Generally, methods for compositional data analysis can only be applied to observed positive entries in a data matrix. Therefore, one tries to impute missing values or measurements that were below a detection limit. In this… 
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