Detection and feature selection in sparse mixture models

DOI10.1214/16-AOS1513zbMath1486.62192OpenAlexW2963834778MaRDI QIDQ1687113

Nicolas Verzelen, Ery Arias-Castro

Publication date: 22 December 2017

Published in: The Annals of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1214/16-aos1513

zbMATH Keywords

Gaussian mixture modelsdetection of mixturesfeature selection for mixturesprojection tests based on momentssparse eigenvalue problemsparse mixture models

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Hypothesis testing in multivariate analysis (62H15)

Related Items (10)

Testing equivalence of clustering ⋮ Large-scale inference with block structure ⋮ Multidimensional two-component Gaussian mixtures detection ⋮ A simple approach to sparse clustering ⋮ Detection boundary for a sparse gamma scale mixture model ⋮ A Doubly Enhanced EM Algorithm for Model-Based Tensor Clustering ⋮ Two-sample Hypothesis Testing for Inhomogeneous Random Graphs ⋮ Minimum Hellinger distance estimation for a semiparametric location-shifted mixture model ⋮ Feature screening in large scale cluster analysis ⋮ Covariate Regularized Community Detection in Sparse Graphs

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