A Regression Model for Compositional Data Based on the Shifted-Dirichlet Distribution

DOI10.1007/978-3-319-44811-4_9zbMath1357.62016OpenAlexW2556375323WikidataQ60182744 ScholiaQ60182744MaRDI QIDQ2959072

Gianna S. Monti, Gloria Mateu-Figueras, Vera Pawlowsky-Glahn, Juan José Egozcue

Publication date: 6 February 2017

Published in: Springer Proceedings in Mathematics & Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-44811-4_9

zbMATH Keywords

model selectionDirichlet regressionsimplicial regression

Mathematics Subject Classification ID

Related Items (3)

A Regression Model for Compositional Data Based on the Shifted-Dirichlet Distribution ⋮ Conformal mirror descent with logarithmic divergences ⋮ Regression for compositions based on a generalization of the Dirichlet distribution

Uses Software

• R

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Beta Regression for Modelling Rates and Proportions
• Bayes spaces: use of improper distributions and exponential families
• Groups of parts and their balances in compositional data analysis
• Some restriction tests in a new class of regression models for proportions
• Dirichlet component regression and its applications to psychiatric data
• The normal distribution in some constrained sample spaces
• A Regression Model for Compositional Data Based on the Shifted-Dirichlet Distribution
• Logistic-Normal Distributions: Some Properties and Uses
• Dependence Properties of Generalized Liouville Distributions on the Simplex
• Statistical Interpretation of Species Composition
• Geometric approach to statistical analysis on the simplex

This page was built for publication: A Regression Model for Compositional Data Based on the Shifted-Dirichlet Distribution