Concepedia

Em Algorithm

EM Algorithm is a statistical estimation method that iteratively maximizes the likelihood function in the presence of incomplete or latent data by alternating between an expectation step (E-step) that computes the expected value of the log-likelihood, and a maximization step (M-step) that updates the parameters to maximize this expected log-likelihood.

3.1K

Publications

317.4K

Citations

6.1K

Authors

1.7K

Institutions

Publications per year

2017–2026

427

Parents

Publications

3.1K

Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm

A. P. Dempster, N. M. Laird, Donald B. Rubin · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 1977 · 49.7K citations

, , +16

The EM Algorithm and Extensions

Debashis Kushary, Geoffrey J. McLachlan, Thriyambakam Krishnan · Technometrics · 1998 · 5.1K citations

, , +16

Maximum Likelihood from Incomplete Data via the EM Algorithm

Digital Access to Scholarship at Harvard (DASH) (Harvard University) · 1977 · 4.5K citations · Full text

, , +16

Maximum likelihood estimation from incomplete data via the EM algorithm

A. P. Dempster · Journal of the Royal Statistical Society Series A (Statistics in Society) · 1977 · 4.5K citations

, , +15

The Calculation of Posterior Distributions by Data Augmentation

Martin A. Tanner, Wing Hung Wong · Journal of the American Statistical Association · 1987 · 3.8K citations

, , +17

1–5 of 3.1K

Authors

6.1K

  1. NB
    N. Balakrishnan

    McMaster University, Canada

    22 publications · 976 citations

    18

    h-index

  2. DB
    Donald B. Rubin

    Harvard University, United States

    18 publications · 55.3K citations

    17

    h-index

  3. MI
    Michael I. Jordan

    University of California, Berkeley, United States

    19 publications · 2.7K citations

    17

    h-index

  4. GJ
    Geoffrey J. McLachlan

    The University of Queensland, Australia

    29 publications · 6.3K citations

    17

    h-index

  5. KL
    Kenneth Lange

    University of California, Los Angeles, United States

    17 publications · 6.5K citations

    16

    h-index

1–5 of 6.1K

Institutions

1.7K

  1. Harvard University

    Cambridge, United States

    43 h-index

    120 publications

    163.8K citations

  2. University of California, Berkeley

    Berkeley, United States

    38 h-index

    107 publications

    13K citations

  3. University of Michigan

    Ann Arbor, United States

    34 h-index

    107 publications

    10.7K citations

  4. University of California, Los Angeles

    Los Angeles, United States

    32 h-index

    91 publications

    18.3K citations

  5. University of Washington

    Seattle, United States

    26 h-index

    63 publications

    8.6K citations

  6. Centre National de la Recherche Scientifique

    Paris, France

    26 h-index

    92 publications

    5.5K citations

  7. Massachusetts Institute of Technology

    Cambridge, United States

    22 h-index

    52 publications

    6.7K citations

  8. Carnegie Mellon University

    Pittsburgh, United States

    22 h-index

    71 publications

    4.3K citations

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Venues

  1. Journal of the American Statistical Association

    126 publications · 21.3K citations

    62

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  2. Biometrics

    110 publications · 12K citations

    47

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  3. 35

    h-index

  4. arXiv (Cornell University)

    Repository · 88 publications · 3.3K citations

    32

    h-index

  5. Statistics in Medicine

    74 publications · 3.9K citations

    32

    h-index

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