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Maximum Regularized Likelihood Estimator of Finite Mixtures with a Structural Model

โœ Scribed by Eguchi, Shinto; Yoshioka, Koichi


Book ID
126521731
Publisher
Taylor and Francis Group
Year
2010
Tongue
English
Weight
508 KB
Volume
39
Category
Article
ISSN
0361-0926

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Iterative numerical methods are necessary t o find the maximum likelihood estimates for finite mixture distributions. This paper shows that it will often be possible to analytitally reduce the number of equations that must ultimately be solved numerically. Such a reduction in dimensionality has not