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We study Bayesian estimation of finite mixture models in a general setup where the number of components is unknown and allowed to grow with the sample size.
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[author] Heinrich, PhilippeP. and Kahn, JonasJ. (2018). Strong identifiability and optimal minimax rates for finite mixture estimation. The Annals of Statistics 46 2844–2870
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