Robust Likelihood Estimation

Robust Likelihood Estimation is a statistical inference method that belongs to the class of likelihood estimation techniques, distinguished by its capacity to yield consistent and efficient parameter estimates under deviations from model assumptions, such as outliers or misspecifications in the data distribution.

57

Publications

3.8K

Citations

155

Authors

107

Institutions

Publications per year

2017–2026

13

Authors

155

  1. BG
    Bruce G. Lindsay

    Pennsylvania State University, United States

    4 publications · 249 citations

    4

    h-index

  2. MM
    Marianthi Markatou

    Columbia University, United States

    3 publications · 228 citations

    3

    h-index

  3. AB
    Ayanendranath Basu

    Indian Statistical Institute, India

    3 publications · 170 citations

    3

    h-index

  4. CA
    Claudio Agostinelli

    Ca' Foscari University of Venice, Italy

    3 publications · 48 citations

    3

    h-index

  5. JÁ
    Javier Álvarez

    University of Alicante, Spain

    2 publications · 78 citations

    2

    h-index

1–5 of 155

Venues

  1. Journal of Statistical Planning and Inference

    4 publications · 154 citations

    4

    h-index

  2. Biometrika

    3 publications · 280 citations

    3

    h-index

  3. Technometrics

    2 publications · 250 citations

    2

    h-index

  4. 2

    h-index

  5. 2

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1–5