The EM Algorithm

Author:

Ng Shu Kay,Krishnan Thriyambakam,McLachlan Geoffrey J.

Publisher

Springer Berlin Heidelberg

Reference70 articles.

1. Baker, S.G.: A simple method for computing the observed information matrix when using the EM algorithm with categorical data. J. Comput. Graph. Stat. 1, 63–76 (1992)

2. Basford, K.E., Greenway, D.R., McLachlan, G.J., Peel, D.: Standard errors of fitted means under normal mixture models. Comput. Stat. 12, 1–17 (1997)

3. Bishop, Y.M.M., Fienberg, S.E., Holland, P.W.: Discrete Multivariate Analysis: Theory and Practice. Springer, New York (2007)

4. Booth, J.G., Hobert, J.P.: Maximizing generalized linear mixed model likelihoods with an automated Monte Carlo EM algorithm. J. Roy. Stat. Soc. B 61, 265–285 (1999)

5. Breslow, N.E., Clayton, D.G.: Approximate inference in generalized linear mixed models. J. Am. Stat. Assoc. 88, 9–25 (1993)

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