AI RESEARCH
Characterizing Evolution in Expectation-Maximization Estimates for Overspecified Mixed Linear Regression
arXiv CS.LG
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ArXi:2508.10154v2 Announce Type: replace Mixture models have attracted significant attention due to practical effectiveness and comprehensive theoretical foundations. A persisting challenge is model misspecification, which occurs when the model to be fitted has mixture components than those in the data distribution.