Graphical Inference

Graphical Inference is a statistical methodology that belongs to the class of inference techniques, differing in that it specifically involves the use of graphical representations of data to assess the significance of patterns through comparison with null distributions generated via visual decoys or simulated data.

272

Publications

31.2K

Citations

540

Authors

290

Institutions

Publications per year

2017–2026

57

Authors

540

  1. SL
    Steffen L. Lauritzen

    Aalborg University, Denmark

    5 publications · 834 citations

    5

    h-index

  2. MD
    Mathias Drton

    University of Washington, United States

    5 publications · 1K citations

    5

    h-index

  3. PD
    Pedro Domingos

    University of Washington, United States

    4 publications · 849 citations

    4

    h-index

  4. JW
    Joe Whittaker

    Lancaster University, United Kingdom

    4 publications · 2K citations

    4

    h-index

  5. TH
    Trevor Hastie

    Stanford University, United States

    4 publications · 227 citations

    4

    h-index

1–5 of 540

Venues

  1. arXiv (Cornell University)

    Repository · 25 publications · 2.1K citations

    16

    h-index

  2. Journal of the American Statistical Association

    10 publications · 1.2K citations

    10

    h-index

  3. Technometrics

    7 publications · 2.8K citations

    7

    h-index

  4. Statistics in Medicine

    5 publications · 198 citations

    5

    h-index

  5. Journal of Statistical Software

    JSS · 5 publications · 845 citations

    5

    h-index

1–5