Hidden Variable Models

Hidden Variable Model is a type of causal graphical model that includes unobserved variables representing latent factors which influence observed variables, thereby accounting for statistical dependencies among the observed data that cannot be explained by observed variables alone.

425

Publications

43.6K

Citations

915

Authors

431

Institutions

Publications per year

2017–2026

86

Authors

915

  1. RC
    Rafael Chaves

    Universidade Federal do Rio Grande do Norte, Brazil

    8 publications · 359 citations

    8

    h-index

  2. OG
    Otfried Gühne

    University of Siegen, Germany

    8 publications · 523 citations

    8

    h-index

  3. AC
    Adán Cabello

    Universidad de Sevilla, Spain

    7 publications · 509 citations

    7

    h-index

  4. JL
    Jan-Åke Larsson

    Linköping University, Sweden

    6 publications · 491 citations

    6

    h-index

  5. MŻ
    Marek Żukowski

    University of Gdańsk, Poland

    6 publications · 363 citations

    6

    h-index

1–5 of 915

Venues

  1. Physical Review Letters

    PRL · 48 publications · 13.1K citations

    36

    h-index

  2. Physical Review A

    PRA · 59 publications · 4.1K citations

    32

    h-index

  3. arXiv (Cornell University)

    Repository · 22 publications · 713 citations

    16

    h-index

  4. Physical review. A/Physical review, A

    PRA · 13 publications · 339 citations

    12

    h-index

  5. New Journal of Physics

    NJP · 10 publications · 1.1K citations

    10

    h-index

1–5