Multivariate distributions, characterized by multiple correlated dimensions, pose a significant obstacle in statistical analysis. Accurately representing these intricate relationships often necessitates advanced approaches. One such approach involves employing mixture distributions to uncover hidden relationships within the data. Furthermore, under

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