Influence Function Analysis

Influence Function Analysis is a statistical method that quantifies the effect of infinitesimal perturbations in the data distribution on an estimator's output, serving to assess the robustness and sensitivity of the estimator to individual observations.

334

Publications

32.2K

Citations

730

Authors

355

Institutions

Publications per year

2017–2026

103

Variants

Influence Curve Analysis

Authors

730

  1. PJ
    Peter J. Rousseeuw

    University of Antwerp, Belgium

    9 publications · 9.6K citations

    9

    h-index

  2. CC
    Christophe Croux

    KU Leuven, Belgium

    7 publications · 3.5K citations

    7

    h-index

  3. ER
    Elvezio Ronchetti

    University of Geneva, Switzerland

    7 publications · 6.1K citations

    7

    h-index

  4. WK
    Weng Khuen Ho

    National University of Singapore, Singapore

    5 publications · 140 citations

    5

    h-index

  5. KV
    Keck Voon Ling

    Nanyang Technological University, Singapore

    5 publications · 140 citations

    5

    h-index

1–5 of 730

Venues

  1. Journal of the American Statistical Association

    23 publications · 7.6K citations

    17

    h-index

  2. arXiv (Cornell University)

    Repository · 14 publications · 1.7K citations

    11

    h-index

  3. The Annals of Statistics

    9 publications · 476 citations

    9

    h-index

  4. Optics Express

    9 publications · 296 citations

    9

    h-index

  5. The American Statistician

    6 publications · 330 citations

    6

    h-index

1–5