A mixture model for dimension reduction

DOI10.1080/03610926.2016.1248576zbMath1379.62043OpenAlexW2394840907MaRDI QIDQ4595866

Jean-Luc Dortet-Bernadet, Laurent Gardes

Publication date: 6 December 2017

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2016.1248576

zbMATH Keywords

dimension reductionmaximum-likelihood estimatesmixture of distributionssliced inverse regression

Mathematics Subject Classification ID

Hypothesis testing in multivariate analysis (62H15) General nonlinear regression (62J02)

Related Items (3)

K-medoids inverse regression ⋮ Sufficient dimension reduction for clustered data via finite mixture modelling ⋮ Minimum Hellinger distance estimation for a semiparametric location-shifted mixture model

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