Clustering Data with Nonignorable Missingness using Semi-Parametric Mixture Models

DOI10.48550/arXiv.2009.07662arXiv2009.07662OpenAlexW4320484746MaRDI QIDQ118021

Matthieu Marbac, Marie Du Roy De Chaumaray, Marie Du Roy De Chaumaray, Matthieu Marbac

Publication date: 16 September 2020

Published in: Advances in Data Analysis and Classification. ADAC (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2009.07662

zbMATH Keywords

clusteringmixture modelnon-ignorable missingnesssmoothed likelihood

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Related Items (1)

MNARclust

Cites Work

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