Robust Nonparametric Estimation

Robust Nonparametric Estimation is a statistical methodology that belongs to the class of nonparametric estimation techniques and is distinguished by its ability to provide reliable inference under deviations from ideal model assumptions, such as outliers or heavy-tailed distributions, without requiring parametric specification of the underlying data-generating process.

104

Publications

7.5K

Citations

226

Authors

140

Institutions

Publications per year

2017–2026

15

Authors

226

  1. GB
    Graciela Boente

    Universidad de Buenos Aires, Argentina

    7 publications · 236 citations

    7

    h-index

  2. LS
    Léopold Simar

    UCLouvain, Belgium

    6 publications · 1.4K citations

    6

    h-index

  3. CD
    Cinzia Daraio

    Sapienza University of Rome, Italy

    4 publications · 384 citations

    4

    h-index

  4. AL
    Ali Laksaci

    Université Djilali de Sidi Bel Abbès, Algeria

    4 publications · 120 citations

    4

    h-index

  5. RF
    Ricardo Fraiman

    University of San Andrés, Argentina

    4 publications · 177 citations

    4

    h-index

1–5 of 226

Venues

  1. The Annals of Statistics

    11 publications · 669 citations

    11

    h-index

  2. 6

    h-index

  3. European Journal of Operational Research

    5 publications · 315 citations

    5

    h-index

  4. Journal of Statistical Planning and Inference

    4 publications · 166 citations

    4

    h-index

  5. Journal of nonparametric statistics

    3 publications · 65 citations

    3

    h-index

1–5