Finite mixture models represent complex data by combining several simple probability distributions, each weighted by a mixing proportion. This framework captures heterogeneity in populations or ...
The expectation-maximization (EM) algorithm is a cornerstone technique for parameter estimation in statistical models that incorporate latent variables or incomplete data. By iteratively alternating ...
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