Functional Causal Models

Functional Causal Models is a causal modeling framework that specifies each variable as a deterministic function of its direct causes and exogenous noise variables, thereby enabling precise representation and analysis of causal mechanisms within a structural equation framework.

133

Publications

10.8K

Citations

470

Authors

214

Institutions

Publications per year

2017–2026

25

Authors

470

  1. KF
    Karl Friston

    University College London, United Kingdom

    6 publications · 684 citations

    6

    h-index

  2. KZ
    Kun Zhang

    Carnegie Mellon University, United States

    4 publications · 86 citations

    4

    h-index

  3. JR
    Jerry R. Hobbs

    SRI International, United States

    3 publications · 97 citations

    3

    h-index

  4. WC
    William Croft

    University of New Mexico, United States

    3 publications · 97 citations

    3

    h-index

  5. DE
    Douglas Edwards

    SRI International, United States

    3 publications · 97 citations

    3

    h-index

1–5 of 470

Venues

  1. arXiv (Cornell University)

    Repository · 5 publications · 115 citations

    5

    h-index

  2. NeuroImage

    4 publications · 596 citations

    4

    h-index

  3. PLoS Computational Biology

    3 publications · 141 citations

    3

    h-index

  4. Journal of Experimental Psychology General

    3 publications · 576 citations

    3

    h-index

  5. IEEE Expert

    3 publications · 73 citations

    3

    h-index

1–5