The impact of ordinal scales on Gaussian mixture recovery

Gaussian mixture models (GMMs) are a popular and versatile tool for exploring heterogeneity in multivariate continuous data. Arguably the most popular way to estimate GMMs is via the expectation–maximization (EM) algorithm combined with model selection using the Bayesian information criterion (BIC)....

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Detalles Bibliográficos
Autores principales: Haslbeck, Jonas M. B., Vermunt, Jeroen K., Waldorp, Lourens J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10250525/
https://www.ncbi.nlm.nih.gov/pubmed/35831565
http://dx.doi.org/10.3758/s13428-022-01883-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10250525/
https://www.ncbi.nlm.nih.gov/pubmed/35831565
http://dx.doi.org/10.3758/s13428-022-01883-8

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