Conditional Inference Trees

Conditional Inference Trees is a statistical decision tree algorithm that belongs to the class of recursive partitioning methods, distinguished by its use of formal hypothesis tests at each split to ensure unbiased variable selection through conditional inference frameworks.

168

Publications

7.6K

Citations

875

Authors

464

Institutions

Publications per year

2017–2026

115

Variants

Cit

Authors

875

  1. TH
    Torsten Hothorn

    University of Zurich, Switzerland

    4 publications · 285 citations

    4

    h-index

  2. AZ
    Achim Zeileis

    Universität Innsbruck, Austria

    4 publications · 348 citations

    4

    h-index

  3. AC
    Armin Curt

    Universitätsklinik Balgrist, Switzerland

    4 publications · 177 citations

    4

    h-index

  4. SK
    Sören Kliem

    Criminological Research Institute of Lower Saxony, Germany

    4 publications · 98 citations

    4

    h-index

  5. DF
    Deborah F. Hellmann

    Criminological Research Institute of Lower Saxony, Germany

    3 publications · 73 citations

    3

    h-index

1–5 of 875

Venues

  1. PLoS ONE

    9 publications · 399 citations

    9

    h-index

  2. Neurorehabilitation and neural repair

    NNR · 3 publications · 133 citations

    3

    h-index

  3. World Englishes

    WE · 3 publications · 74 citations

    3

    h-index

  4. SSRN Electronic Journal

    Repository · 3 publications · 96 citations

    3

    h-index

  5. Spine

    2 publications · 32 citations

    2

    h-index

1–5