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Weak Limits of Parameter Estimation in Strongly Identifiable Mixture Models
We study the asymptotic behavior of global maximum likelihood estimation in finite mixtures with an unknown number of components bounded by \(k\). Although convergence rates are well understood under strong identifiability, they do not determine the limiting distribution of mixing-measure loss. Unde
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