EM algoritmus (Czech Wikipedia)

Analysis of information sources in references of the Wikipedia article "EM algoritmus" in Czech language version.

refsWebsite

Global rank Czech rank

17doi.org

2^nd place

4^th place

7jstor.org

26^th place

45^th place

5harvard.edu

18^th place

99^th place

2web.archive.org

1^st place

2worldcat.org

5^th place

3^rd place

1nih.gov

4^th place

8^th place

1archive.org

6^th place

10^th place

1ascelibrary.org

low place

1umass.edu

3,341^st place

low place

1berkeley.edu

580^th place

696^th place

archive.org

HASTIE, Trevor; TIBSHIRANI, Robert; FRIEDMAN, Jerome. The Elements of Statistical Learning. New York: Springer, 2001. Dostupné online. ISBN 978-0-387-95284-0. Kapitola The 8.5 EM algorithm.

ascelibrary.org

MATARAZZO, T. J.; PAKZAD, S. N. STRIDE for Structural Identification using Expectation Maximization: Iterative Output-Only Method for Modal Identification. Journal of Engineering Mechanics. 2016. Dostupné online.

berkeley.edu

stat.berkeley.edu

LANGE, Kenneth. The MM Algorithm [online]. Dostupné online.

doi.org

CEPPELINI, R.M. The estimation of gene frequencies in a random-mating population. Ann. Hum. Genet.. 1955. doi:10.1111/j.1469-1809.1955.tb01360.x. PMID 13268982.
SUNDBERG, Rolf. An iterative method for solution of the likelihood equations for incomplete data from exponential families. Communications in Statistics – Simulation and Computation. 1976. doi:10.1080/03610917608812007.
WU, C. F. Jeff. On the Convergence Properties of the EM Algorithm. Annals of Statistics. Mar 1983. doi:10.1214/aos/1176346060. JSTOR 2240463.
LINDSTROM, Mary J; BATES, Douglas M. Newton—Raphson and EM Algorithms for Linear Mixed-Effects Models for Repeated-Measures Data. Journal of the American Statistical Association. 1988. doi:10.1080/01621459.1988.10478693.
VAN DYK, David A. Fitting Mixed-Effects Models Using Efficient EM-Type Algorithms. Journal of Computational and Graphical Statistics. 2000. doi:10.2307/1390614. JSTOR 1390614.
DIFFEY, S. M; SMITH, A. B; WELSH, A. H; CULLIS, B. R. A new REML (parameter expanded) EM algorithm for linear mixed models. Australian & New Zealand Journal of Statistics. 2017. doi:10.1111/anzs.12208.
EINICKE, G.A.; MALOS, J.T.; REID, D.C. Riccati Equation and EM Algorithm Convergence for Inertial Navigation Alignment. IEEE Trans. Signal Process.. Lednu 2009. doi:10.1109/TSP.2008.2007090. Bibcode 2009ITSP...57..370E.
EINICKE, G.A.; FALCO, G.; MALOS, J.T. EM Algorithm State Matrix Estimation for Navigation. IEEE Signal Processing Letters. Květnu 2010. doi:10.1109/LSP.2010.2043151. Bibcode 2010ISPL...17..437E.
EINICKE, G.A.; FALCO, G.; DUNN, M.T. Iterative Smoother-Based Variance Estimation. IEEE Signal Processing Letters. Květnu 2012. doi:10.1109/LSP.2012.2190278. Bibcode 2012ISPL...19..275E.
EINICKE, G.A. Iterative Filtering and Smoothing of Measurements Possessing Poisson Noise. IEEE Transactions on Aerospace and Electronic Systems. Sep 2015. doi:10.1109/TAES.2015.140843. Bibcode 2015ITAES..51.2205E.
JAMSHIDIAN, Mortaza; JENNRICH, Robert I. Acceleration of the EM Algorithm by using Quasi-Newton Methods. Journal of Royal Statistical Society, Series B. 1997. doi:10.1111/1467-9868.00083.
LIU, C. Parameter expansion to accelerate EM: The PX-EM algorithm. Biometrika. 1998. doi:10.1093/biomet/85.4.755.
MENG, Xiao-Li; RUBIN, Donald B. Maximum likelihood estimation via the ECM algorithm: A general framework. Biometrika. 1993. doi:10.1093/biomet/80.2.267.
LIU, Chuanhai; RUBIN, Donald B. The ECME Algorithm: A Simple Extension of EM and ECM with Faster Monotone Convergence. Biometrika. 1994. doi:10.2307/2337067. JSTOR 2337067.
MATSUYAMA, Yasuo. The α-EM algorithm: Surrogate likelihood maximization using α-logarithmic information measures. IEEE Transactions on Information Theory. 2003. doi:10.1109/TIT.2002.808105.
WOLYNETZ, M.S. Maximum likelihood estimation in a linear model from confined and censored normal data. Journal of Royal Statistical Society, Series C. 1979. doi:10.2307/2346749. JSTOR 2346749.
PEARSON, Karl. Contributions to the Mathematical Theory of Evolution. Philosophical Transactions of the Royal Society of London A. 1894. ISSN 0264-3820. doi:10 vycházející z moment.1098/rsta.1894.0003. JSTOR 90667. Bibcode 1894RSPTA.185...71P.

harvard.edu

adsabs.harvard.edu

EINICKE, G.A.; MALOS, J.T.; REID, D.C. Riccati Equation and EM Algorithm Convergence for Inertial Navigation Alignment. IEEE Trans. Signal Process.. Lednu 2009. doi:10.1109/TSP.2008.2007090. Bibcode 2009ITSP...57..370E.
EINICKE, G.A.; FALCO, G.; MALOS, J.T. EM Algorithm State Matrix Estimation for Navigation. IEEE Signal Processing Letters. Květnu 2010. doi:10.1109/LSP.2010.2043151. Bibcode 2010ISPL...17..437E.
EINICKE, G.A.; FALCO, G.; DUNN, M.T. Iterative Smoother-Based Variance Estimation. IEEE Signal Processing Letters. Květnu 2012. doi:10.1109/LSP.2012.2190278. Bibcode 2012ISPL...19..275E.
EINICKE, G.A. Iterative Filtering and Smoothing of Measurements Possessing Poisson Noise. IEEE Transactions on Aerospace and Electronic Systems. Sep 2015. doi:10.1109/TAES.2015.140843. Bibcode 2015ITAES..51.2205E.
PEARSON, Karl. Contributions to the Mathematical Theory of Evolution. Philosophical Transactions of the Royal Society of London A. 1894. ISSN 0264-3820. doi:10 vycházející z moment.1098/rsta.1894.0003. JSTOR 90667. Bibcode 1894RSPTA.185...71P.

jstor.org

DEMPSTER, A.P.; LAIRD, N.M.; RUBIN, D.B. Maximum Likelihood from Incomplete Data via the EM Algorithm. Journal of Royal Statistical Society, Series B. 1977. JSTOR 2984875.
SUNDBERG, Rolf. Maximum likelihood theory for incomplete data from an exponential family. Scandinavian Journal of Statistics. 1974. JSTOR 4615553.
WU, C. F. Jeff. On the Convergence Properties of the EM Algorithm. Annals of Statistics. Mar 1983. doi:10.1214/aos/1176346060. JSTOR 2240463.
VAN DYK, David A. Fitting Mixed-Effects Models Using Efficient EM-Type Algorithms. Journal of Computational and Graphical Statistics. 2000. doi:10.2307/1390614. JSTOR 1390614.
LIU, Chuanhai; RUBIN, Donald B. The ECME Algorithm: A Simple Extension of EM and ECM with Faster Monotone Convergence. Biometrika. 1994. doi:10.2307/2337067. JSTOR 2337067.
WOLYNETZ, M.S. Maximum likelihood estimation in a linear model from confined and censored normal data. Journal of Royal Statistical Society, Series C. 1979. doi:10.2307/2346749. JSTOR 2346749.
PEARSON, Karl. Contributions to the Mathematical Theory of Evolution. Philosophical Transactions of the Royal Society of London A. 1894. ISSN 0264-3820. doi:10 vycházející z moment.1098/rsta.1894.0003. JSTOR 90667. Bibcode 1894RSPTA.185...71P.

nih.gov

ncbi.nlm.nih.gov

CEPPELINI, R.M. The estimation of gene frequencies in a random-mating population. Ann. Hum. Genet.. 1955. doi:10.1111/j.1469-1809.1955.tb01360.x. PMID 13268982.

umass.edu

rio.ecs.umass.edu

Accelerating Expectation-Maximization Algorithms with Frequent Updates. Proceedings of the IEEE International Conference on Cluster Computing. 2012. Dostupné online.

web.archive.org

HUNTER, DR; LANGE, K. A Tutorial on MM Algorithms [online]. 2004 [cit. 2019-12-10]. Dostupné v archivu pořízeném dne 2011-07-20.
SHABAN, Amirreza; MEHRDAD, Farajtabar; BO, Xie; LE, Song; BYRON, Boots. Learning Latent Variable Models by Improving Spectral Solutions with Exterior Point Method. UAI. 2015. Dostupné v archivu pořízeném dne 2016-12-24. Archivováno 24. 12. 2016 na Wayback Machine.

worldcat.org

PEARSON, Karl. Contributions to the Mathematical Theory of Evolution. Philosophical Transactions of the Royal Society of London A. 1894. ISSN 0264-3820. doi:10 vycházející z moment.1098/rsta.1894.0003. JSTOR 90667. Bibcode 1894RSPTA.185...71P.
BALLE, BORJA QUATTONI, ARIADNA CARRERAS, XAVIER. Local Loss Optimization in Operator Models: A New Insight into Spectral Learning. [s.l.]: [s.n.], 2012-06-27. OCLC 815865081