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Generalized self-consistency algorithms for mixture models
Mathematics and Computer Sciences Journal (MCSJ), Volume 2, Aug 2017

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A generalization of the concept of mixture, self-consistency, expectation and imputation and asso- ciated Quasi-EM algorithms is presented and applied to multinomial logistic model, a family of univariate survival models, and multivariate survival models motivated by frailties. A subclass of Archimedian copula models is identified that is characterized by monotonically convergent Quasi-EM algorithms. A connection to recently proposed MM algorithms that extend the EM concept without using missing data arguments is established.

Author(s): Alex Tsodikov
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