A review of compositional data analysis and recent advances
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Publication:6115037
DOI10.1080/03610926.2021.2014890OpenAlexW4200314780MaRDI QIDQ6115037
Publication date: 12 July 2023
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2021.2014890
Cites Work
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- Tucker3 Model for Compositional Data
- Imputation of missing values for compositional data using classical and robust methods
- Modeling and Forecasting U.S. Mortality
- Variable selection in regression with compositional covariates
- Log-Contrast Regression with Functional Compositional Predictors: Linking Preterm Infant's Gut Microbiome Trajectories to Neurobehavioral Outcome
- Dealing with distances and transformations for fuzzy \(c\)-means clustering of compositional data
- Non-parametric regression on compositional covariates using Bayesian P-splines
- Regression analysis for microbiome compositional data
- Improved classification for compositional data using the \(\alpha\)-transformation
- On the folded normal distribution
- Spatial regression modeling for compositional data with many zeros
- Covariance-based variable selection for compositional data
- A Dirichlet regression model for compositional data with zeros
- Dealing with zeros and missing values in compositional data sets using nonparametric imputation
- Isometric logratio transformations for compositional data analysis
- New perspectives on water chemistry and compositional data analysis
- Dealing with compositional data: the freeware coDaPack
- Groups of parts and their balances in compositional data analysis
- A hyperspherical transformation forecasting model for compositional data
- The graph median -- a stable alternative measure of central tendency for compositional data sets
- Fitting Kent models to compositional data with small concentration
- Dirichlet component regression and its applications to psychiatric data
- A least squares algorithm for a mixture model for compositional data.
- A structured Dirichlet mixture model for compositional data: inferential and applicative issues
- Reply to letter to the editor by S. Rehder and U. Zier on ``Logratio analysis and compositional distance
- Revisiting the geometry of a ternary diagram with the half-taxi metric
- A new class of metric divergences on probability spaces and its applicability in statistics
- Model-based replacement of rounded zeros in compositional data: classical and robust approaches
- A generalization of the Dirichlet distribution
- Sliced inverse regression method for multivariate compositional data modeling
- Additive regression with Hilbertian responses
- Regression for compositions based on a generalization of the Dirichlet distribution
- Robust regression with compositional covariates
- Managing the essential zeros in quantitative fatty acid signature analysis
- Gaussian asymptotic limits for the \({\alpha}\)-transformation in the analysis of compositional data
- Variable selection in compositional data analysis using pairwise logratios
- Compositional mediation analysis for microbiome studies
- A parametric approach for dealing with compositional rounded zeros
- Discriminant analysis for compositional data and robust parameter estimation
- Colours and Cocktails: Compositional Data Analysis 2013 Lancaster Lecture
- Biplots of Compositional Data
- A Comparison of Permutation Hotelling'sT2Test and Log-Ratio Test for Analyzing Compositional Data
- Correspondence Analysis in Practice
- A new metric for probability distributions
- Bayesian modelling of spatial compositional data
- A Bayesian Statistical Model for End Member Analysis of Sediment Geochemistry, Incorporating Spatial Dependences
- Principal component analysis of compositional data
- Pseudo Maximum Likelihood Methods: Theory
- Kernel Density Estimation for Compositional Data
- Logistic-Normal Distributions: Some Properties and Uses
- Statistical Applications of the Multivariate Skew Normal Distribution
- Dependence Properties of Generalized Liouville Distributions on the Simplex
- The multivariate skew-normal distribution
- Regression for Compositional Data by using Distributions Defined on the Hypersphere
- Conditional Generalized Liouville Distributions on the Simplex
- Analyzing Compositional Data with R
- Discriminant partial least squares analysis on compositional data
- Non-parametric regression for compositional data
- A robust Parafac model for compositional data
- Clustering transformed compositional data usingK-means, with applications in gene expression and bicycle sharing system data
- Nonparametric hypothesis testing for equality of means on the simplex
- Linear regression with compositional explanatory variables
- An approach to measure distance between compositional diet estimates containing essential zeros
- Generalized linear models with linear constraints for microbiome compositional data
- Two-sample tests of high-dimensional means for compositional data
- The Skew-Normal Distribution on the Simplex
- Concepts of Independence for Proportions with a Generalization of the Dirichlet Distribution
- The Helmert Matrices
- Regression Analysis of Multivariate Fractional Data
- On criteria for measures of compositional difference
- A transformation‐free linear regression for compositional outcomes and predictors
- A folded model for compositional data analysis
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