scientific article; zbMATH DE number 7148694

zbMath1449.62152arXiv1508.01913MaRDI QIDQ5207203

Michail Tsagris

Publication date: 8 January 2020

Full work available at URL: https://arxiv.org/abs/1508.01913

Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.

zbMATH Keywords

predictionregressioncompositional dataprincipal component regression\( \alpha \)-transformation

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Factor analysis and principal components; correspondence analysis (62H25) General nonlinear regression (62J02)

Related Items (6)

A transformation‐free linear regression for compositional outcomes and predictors ⋮ A folded model for compositional data analysis ⋮ A review of compositional data analysis and recent advances ⋮ Additive regression with Hilbertian responses ⋮ Flexible non-parametric regression models for compositional data ⋮ Additive regression for predictors of various natures and possibly incomplete Hilbertian responses

Uses Software

• DirichletReg

Cites Work

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• Dealing with zeros and missing values in compositional data sets using nonparametric imputation
• Isometric logratio transformations for compositional data analysis
• Dirichlet component regression and its applications to psychiatric data
• Principal component analysis.
• Model-based replacement of rounded zeros in compositional data: classical and robust approaches
• Kernel Density Estimation for Compositional Data
• Regression for Compositional Data by using Distributions Defined on the Hypersphere
• Linear regression with compositional explanatory variables
• Robust Statistics
• The Helmert Matrices

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