Modelling and Analysis of Compositional Data: Pawlowsky-Glahn/Modelling and Analysis of Compositional Data
By Vera Pawlowsky-Glahn, Juan José Egozcue, Raimon Tolosana-Delgado. 2015
272 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Geophysics, Mechanics of Materials
View Paper: https://www.semanticscholar.org/paper/c1f4a3ee5991a34fb5fd0a526772166696cc2045
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In Artificial Intelligence
In Geophysics
In Mechanics of Materials
Citations in the corpus
- On the treatment of discordant detrital zircon U–Pb data (2020, background): “…a vast body of statistical literature detailing the theoretical and practical advantages of logratio analysis. deeper discussion of this topic falls outside the scope of this paper, but the interested reader is referred to Aitchison (1986) and Pawlowsky-Glahn et al. (2015) for further information.”
- Wasserstein autoregressive models for density time series (2020, methodology): “The general methodology of Compositional Data Analysis has been used in various contexts for about four decades, see Pawlowsky-Glahn et al. (2015) for a comprehensive account.”