A note on multinomial maximum likelihood estimation under ordered restrictions and the EM algorithm |
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Authors: | Yuling Li Wei Gao Ning-Zhong Shi |
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Affiliation: | (1) Key Laboratory for Applied Statistics of MOE, School of Mathematics and Statistics, Northeast Normal University, Changchun, Jilin, 130024, China;(2) International Finance College, Beijing Normal University Zhuhai Campus, Zhuhai, Guangdong, 51905, China |
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Abstract: | A frequently occurring problem is to find the maximum likelihood estimation (MLE) of p subject to p∈C (C⊂ P the probability vectors in R k ). The problem has been discussed by many authors and they mainly focused when p is restricted by linear constraints or log-linear constraints. In this paper, we construct the relationship between the the maximum likelihood estimation of p restricted by p∈C and EM algorithm and demonstrate that the maximum likelihood estimator can be computed through the EM algorithm (Dempster et al. in J R Stat Soc Ser B 39:1–38, 1997). Several examples are analyzed by the proposed method. |
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Keywords: | Maximum likelihood estimation EM algorithm Ordered restriction |
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