Lingam

LiNGAM is a linear non-Gaussian acyclic model that belongs to the class of structural equation models and is distinguished by its assumption of non-Gaussian error terms to enable full identification of causal structure in directed acyclic graphs.

51

Publications

3.4K

Citations

132

Authors

52

Institutions

Publications per year

2017–2026

7

Authors

132

  1. KG
    Kristina Glimelius

    Swedish University of Agricultural Sciences, Sweden

    5 publications · 284 citations

    5

    h-index

  2. AH
    Aapo Hyvärinen

    University of Helsinki, Finland

    4 publications · 250 citations

    4

    h-index

  3. CS
    C. Sjödin

    Swedish University of Agricultural Sciences, Sweden

    4 publications · 260 citations

    4

    h-index

  4. SS
    Shohei Shimizu

    The University of Osaka, Japan

    4 publications · 167 citations

    4

    h-index

  5. XX
    Xiaojie Xu

    North Carolina State University, United States

    3 publications · 312 citations

    3

    h-index

1–5 of 132

Venues

  1. Theoretical and Applied Genetics

    5 publications · 437 citations

    5

    h-index

  2. Journal of Phytopathology

    3 publications · 87 citations

    3

    h-index

  3. arXiv (Cornell University)

    Repository · 2 publications · 57 citations

    2

    h-index

  4. Retina

    2 publications · 27 citations

    2

    h-index

  5. Agricultural and Food Science

    2 publications · 72 citations

    2

    h-index

1–5