Dependence Network Analysis

Dependence Network Analysis is a methodological framework within statistical and causal inference that models and examines the structure of conditional dependencies among variables in a system, distinguishing itself by representing these dependencies as a network of direct probabilistic relationships.

86

Publications

6.3K

Citations

253

Authors

140

Institutions

Publications per year

2017–2026

34

Authors

253

  1. EI
    Eiko I. Fried

    Leiden University, Netherlands

    3 publications · 760 citations

    3

    h-index

  2. DH
    Darren Hawkins

    Brigham Young University, United States

    3 publications · 162 citations

    3

    h-index

  3. DB
    Denny Borsboom

    University of Amsterdam, Netherlands

    3 publications · 760 citations

    3

    h-index

  4. RC
    Rosaria Conte

    Institute of Cognitive Sciences and Technologies, Italy

    3 publications · 337 citations

    3

    h-index

  5. JG
    Jay Goodliffe

    Brigham Young University, United States

    3 publications · 162 citations

    3

    h-index

1–5 of 253

Venues

  1. International Journal of General Systems

    2 publications · 50 citations

    2

    h-index

  2. Resources Policy

    2 publications · 32 citations

    2

    h-index

  3. arXiv (Cornell University)

    Repository · 2 publications · 171 citations

    2

    h-index

  4. Annals of Operations Research

    2 publications · 31 citations

    2

    h-index

  5. Reliability Engineering & System Safety

    2 publications · 108 citations

    2

    h-index

1–5