Covariance-based variable selection for compositional data

DOI10.1007/S11004-013-9450-9zbMath1321.86023OpenAlexW1996000850MaRDI QIDQ500739

Sandra Donevska, Karel Hron, Eva Fišerová, Peter Filzmoser

Publication date: 5 October 2015

Published in: Mathematical Geosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11004-013-9450-9

zbMATH Keywords

variable selectionAitchison geometry on the simplexcentered log-ratio transformationisometric log-ratio transformation

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Geostatistics (86A32)

Related Items (4)

Three approaches to supervised learning for compositional data with pairwise logratios ⋮ A review of compositional data analysis and recent advances ⋮ Classical and robust regression analysis with compositional data ⋮ Variable selection in compositional data analysis using pairwise logratios

Uses Software

• R

Cites Work

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• Imputation of missing values for compositional data using classical and robust methods
• Statistical properties of the total variation estimator for compositional data
• Isometric logratio transformations for compositional data analysis
• Reply to ``On the Harker variation diagrams; \dots by J.A. Cortés
• Groups of parts and their balances in compositional data analysis
• Oscillation theorems for second-order half-linear delay dynamic equations with damping on time scales
• Biplots of Compositional Data
• Geometric approach to statistical analysis on the simplex

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