A structured Dirichlet mixture model for compositional data: inferential and applicative issues

DOI10.1007/s11222-016-9665-yzbMath1384.62200OpenAlexW2399352303WikidataQ114689277 ScholiaQ114689277MaRDI QIDQ1703812

Andrea Ongaro, Gianna S. Monti, Sonia Migliorati

Publication date: 7 March 2018

Published in: Statistics and Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11222-016-9665-y

zbMATH Keywords

identifiabilitymultimodalityDirichlet mixturesimplex distributionEM type algorithms

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Point estimation (62F10) Characterization and structure theory for multivariate probability distributions; copulas (62H05)

Related Items (7)

A new regression model for bounded responses ⋮ A new mixture model on the simplex ⋮ A review of compositional data analysis and recent advances ⋮ Bayesian Inference for a Mixture Model on the Simplex ⋮ Robustness against outliers: A new variance inflated regression model for proportions ⋮ Modelling the Flow of Character Recognition Results in Video Stream ⋮ A spatial mixed-effects regression model for electoral data

Uses Software

• R
• pdfCluster

Cites Work

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