Bivariate beta mixture model with correlations

Nurvita Trianasari, I Made Sumertajaya, Erfiani -, I Wayan Mangku

Abstract


The method of clustering is a probabilistic model based on clustering technique. The clustering method is often based on the assumption that data comes from a mixed model. One such mixture model is the beta mixed model. This mixed model can be used for the case of one variable or multiple variables. However, for the mixed beta model of the double variable, each variable is assumed to be independent.  In this article, we propose a mixed beta model with correlated variables. The parameter estimation method uses the MLE method via the EM algorithm. While determining the optimal number of clusters using the ICL-BIC criteria. Monte Carlo simulation is used to see the performance of the model.

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Published: 2021-03-30

How to Cite this Article:

Nurvita Trianasari, I Made Sumertajaya, Erfiani -, I Wayan Mangku, Bivariate beta mixture model with correlations, Commun. Math. Biol. Neurosci., 2021 (2021), Article ID 26

Copyright © 2021 Nurvita Trianasari, I Made Sumertajaya, Erfiani -, I Wayan Mangku. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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