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Non-parametric regression for compositional data
Statistical Modelling, 2014Regression for compositional data has been considered only from a parametric point of view. We introduce local constant and local linear smoothing for this problem, and treat the cases when the response, the predictor or both of them are compositions. To this end, we introduce suitable series expansions of the regression function at a point, along with
Marco Di Marzio +2 more
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Geostatistics for Compositional Data with R
2021Tolosana Delgado, R., Müller, U.
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Generative Replay Underlies Compositional Inference in the Hippocampal-Prefrontal Circuit
Cell, 2023Matthew Botvinick +2 more
exaly
Compositional data analysis with R
2003Examples of compositional data. The simplex, a suitable sample space for compositional data and Aitchison's geometry.
Bren, Matevž, Batagelj, Vladimir
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Comparison of Zero Replacement Strategies for Compositional Data With Large Numbers of Zeros
Chemometrics and Intelligent Laboratory Systems, 2021Peter Filzmoser, Matthias Templ
exaly
Modelling and Analysis of Compositional Data
2015Pawlowsky-Glahn, V. +2 more
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Univariate Statistical Analysis of Environmental (Compositional) Data: Problems and Possibilities
Science of the Total Environment, 2009Karel Hron +2 more
exaly