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We study the rates of estimation of finite mixing distributions, that is, the parameters of the mixture.
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[author] Dedecker, JérômeJ. and Michel, BertrandB. (2013). Minimax rates of convergence for Wasserstein deconvolution with supersmooth errors in any dimension. Journal of Multivariate Analysis 122 278–291. \endbibitem
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[author] Gassiat, ElisabethE. and van Handel, RamonR. (2013). Consistent order estimation and minimal penalties. IEEE Trans. Inform. Theory 59 1115–1128. \endbibitem
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[author] Nguyen, X.X. (2013). Convergence of latent mixing measures in finite and infinite mixture models. Ann. Statist. 41 370–400. \endbibitem
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[author] Kuhn, Michael AM. A., Feigelson, Eric DE. D., Getman, Konstantin VK. V., Baddeley, Adrian JA. J., Broos, Patrick SP. S., Sills, AlisonA., Bate, Matthew RM. R., Povich, Matthew SM. S., Luhman, Kevin LK. L., Busk, Heather AH. A. et al. (2014). The Spatial Structure of Young Stellar Clusters. I. Subclusters. The Astrophysical Journal 787 107. \endbibitem
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[author] Liu, MinM. and Hancock, Gregory RG. R. (2014). Unrestricted Mixture Models for Class Identification in Growth Mixture Modeling. Educational and Psychological Measurement 74 557–584. \endbibitem
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[author] Heinrich, P.P. and Kahn, J.J. (2015). Supplement to ’Optimal rates for finite mixture estimation’: Auxiliary results and technical details. \endbibitem
2015
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