Robust Multivariate Estimation

Robust Multivariate Estimation is a statistical methodology that belongs to the class of multivariate estimation techniques, distinguished by its ability to provide reliable and stable parameter estimates in the presence of outliers, deviations from distributional assumptions, or other forms of data contamination.

152

Publications

10.6K

Citations

321

Authors

203

Institutions

Publications per year

2017–2026

26

Authors

321

  1. VJ
    Vı́ctor J. Yohai

    Universidad de Buenos Aires, Argentina

    8 publications · 782 citations

    8

    h-index

  2. DM
    David M. Rocke

    University of California, Davis, United States

    6 publications · 659 citations

    6

    h-index

  3. RA
    Ricardo A. Maronna

    Universidad Nacional de La Plata, Argentina

    5 publications · 1.4K citations

    5

    h-index

  4. DL
    David L. Woodruff

    University of California, Davis, United States

    4 publications · 266 citations

    4

    h-index

  5. RH
    Ruben H. Zamar

    University of British Columbia, Canada

    4 publications · 361 citations

    4

    h-index

1–5 of 321

Venues

  1. The Annals of Statistics

    11 publications · 2.6K citations

    11

    h-index

  2. Journal of the American Statistical Association

    10 publications · 673 citations

    10

    h-index

  3. Computational Statistics & Data Analysis

    CSDA · 7 publications · 258 citations

    7

    h-index

  4. Journal of Multivariate Analysis

    6 publications · 181 citations

    6

    h-index

  5. Statistics & Probability Letters

    5 publications · 192 citations

    5

    h-index

1–5