Identifiability and Estimation for Unlabeled Finite Mixtures
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Identifiability and Estimation for Unlabeled Finite Mixtures under Marginal Independence
arXiv:2606.07914v1 Announce Type: cross Abstract: We study component recovery and mixing-matrix estimation from unlabeled finite mixtures whose observable distributions share the same latent components but have unknown mixing weights. The main identifying signal is marginal independence: each component is assumed to be independent on at least one coordinate pair, but no labels, clean component samples, or mixing weights are observed. We first prove a structural result for product components:...