A. P. Dempster, N. M. Laird, and D. B. Rubin, Maximum Likelihood from Incomplete Data via the EM Algorithm, Journal of the Royal Statistical Society, Series B, vol.39, pp.1-38, 1977.

M. Kok, J. B. Dahlin, T. B. Schon, and . Wills, Newton-based maximum likelihood estimation in nonlinear state space models**E-mail address to corresponding author: manon.kok@liu.se. This work is supported by CADICS, a Linnaeus Center, and by the project Probabilistic modeling of dynamical systems (Contract number: 621-2013-5524), both funded by the Swedish Research Council (VR)., IFAC-PapersOnLine, vol.48, issue.28, pp.398-403, 2015.
DOI : 10.1016/j.ifacol.2015.12.160

C. Lu, A Generalized Information Theory (in Chinese), 1993.

C. Lu, Coding Meanings of Generalized Entropy and Generalized Mutual Information (in Chinese), J. of China Institute of Communication, vol.15, pp.37-44, 1994.

C. Lu, A GENERALIZATION OF SHANNON'S INFORMATION THEORY, International Journal of General Systems, vol.4, issue.6, pp.453-490, 1999.
DOI : 10.1016/0022-247X(68)90078-4

C. E. Shannon, A Mathematical Theory of Communication, Bell System Technical Journal, vol.27, issue.3, pp.379-429, 1948.
DOI : 10.1002/j.1538-7305.1948.tb01338.x

C. E. Shannon, Coding theorems for a discrete source with a fidelity criterion, IRE Nat. Conv. Rec., Part, vol.4, pp.142-163, 1959.

S. Kullback and R. Leibler, On Information and Sufficiency, The Annals of Mathematical Statistics, vol.22, issue.1, pp.79-86, 1951.
DOI : 10.1214/aoms/1177729694

URL : http://doi.org/10.1214/aoms/1177729694

H. Akaike, A new look at the statistical model identification, IEEE Transactions on Automatic Control, vol.19, issue.6, pp.716-723, 1974.
DOI : 10.1109/TAC.1974.1100705

L. A. Zadeh, Fuzzy sets, Information and Control, vol.8, issue.3, pp.338-53, 1965.
DOI : 10.1016/S0019-9958(65)90241-X

S. F. Thomas, Possibilistic uncertainty and statistical inference, 1981.

J. Zhou, Fundamentals of Information Theory (in Chinese) People's Posts &, 1983.

C. L. Byrne, The EM Algorithm Theory Applications and Related Methods

C. F. Wu, On the Convergence Properties of the EM Algorithm, The Annals of Statistics, vol.11, issue.1, pp.95-105, 1983.
DOI : 10.1214/aos/1176346060

R. Neal and G. Hinton, A View of the Em Algorithm that Justifies Incremental, Sparse, and other Variants, Learning in Graphical Models, pp.355-368, 1999.
DOI : 10.1007/978-94-011-5014-9_12

URL : http://www.gatsby.ucl.ac.uk/~quaid/course/readings/F.ps

W. H. Huang and Y. G. Chen, The multiset EM algorithm, Statistics & Probability Letters, vol.126, pp.41-48, 2017.
DOI : 10.1016/j.spl.2017.02.021

T. Springer and K. Urban, Comparison of the EM algorithm and alternatives, Numerical Algorithms, vol.8, issue.1, pp.335-364, 2014.
DOI : 10.1162/neco.1996.8.1.129

Y. L. Zhao, W. J. Bi, and T. Wang, ???????????????????????????????????????????????????????????????, Science China Information Sciences, vol.11, issue.5, pp.1-05220118, 201659.
DOI : 10.1007/978-1-4612-1768-8_11