most citedDynamic Mixture of Finite Mixtures of Factor Analysers with Automatic Inference on the Number of Clusters and Factors

2 citations · 2 across the 2 of their papers we have counts for

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2 papers

stat.ME2023

A Review of Bayesian Methods for Infinite Factorisations

Margarita Grushanina

Defining the number of latent factors has been one of the most challenging problems in factor analysis. Infinite factor models offer a solution to this problem by applying increasi…

stat.ME2023★ 2 cited

Dynamic Mixture of Finite Mixtures of Factor Analysers with Automatic Inference on the Number of Clusters and Factors

Margarita Grushanina, Sylvia Frühwirth-Schnatter

Mixtures of factor analysers (MFA) models represent a popular tool for finding structure in data, particularly high-dimensional data. While in most applications the number of clust…