2024
DOI: 10.1007/s00357-024-09492-0
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Studying Hierarchical Latent Structures in Heterogeneous Populations with Missing Information

Francesca Greselin,
Giorgia Zaccaria

Abstract: An ultrametric Gaussian mixture model is a powerful tool for modeling hierarchical relationships among latent concepts, making it ideal for studying complex phenomena in diverse and potentially heterogeneous populations. However, in many cases, only an incomplete set of observations is available on the phenomenon under study. To address this issue, we propose MissUGMM, an ultrametric Gaussian mixture model which takes into account the missing at random mechanism for the unobserved values. Our approach is estim… Show more

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