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