Multivariate distributions, characterized by several correlated dimensions, pose a significant obstacle in statistical analysis. Accurately modeling these intricate relationships often requires advanced methods. One such approach involves employing mixture distributions to reveal hidden structures within the data. Moreover, understanding the depend

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