1. Dempster, A.P., Laird, N.M., Rubin, D.B.: Maximum likelihood from incomplete data via the EM algorithm. J. R. Stat. Soc. Ser. B (Methodol.) 39(1), 1–38 (1977)
2. Titterington, D.M.: Recursive parameter estimation using incomplete data. J. R. Stat. Soc. Ser. B (Methodol.) 46(2), 257–267 (1984)
3. Cappé, O., Moulines, E.: On-line expectation-maximization algorithm for latent data models. J. R. Stat. Soc. Ser. B (Methodol.) 71(3), 593–613 (2009)
4. Neal, R.M., Hinton, G.E.: A view of the EM algorithm that justifies incremental, sparse, and other variants. In: Jordan, M.I. (ed.) Learning in Graphical Models, pp. 355–368. MIT Press, Cambridge (1999)
5. Nielsen, F.: On learning statistical mixtures maximizing the complete likelihood. In: Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2014), AIP Conference Proceedings Publishing, 1641, pp. 238–245 (2014)