Likelihood Diagnostics

Likelihood Diagnostics is a methodological framework within statistical inference that systematically evaluates the adequacy, sensitivity, and robustness of likelihood-based models by identifying influential observations, misspecifications, and departures from underlying assumptions.

20

Publications

2.1K

Citations

54

Authors

32

Institutions

Publications per year

2017–2026

3

Authors

54

  1. HK
    Herman K. van Dijk

    Erasmus University Rotterdam, Netherlands

    1 publications · 14 citations

    1

    h-index

  2. PM
    Paul Mustacchia

    Nassau University Medical Center, United States

    1 publications · 38 citations

    1

    h-index

  3. NG
    Noel G. Cadigan

    Memorial University of Newfoundland, Canada

    1 publications · 29 citations

    1

    h-index

  4. FC
    Fabio Canova

    Universitat Pompeu Fabra, Spain

    1 publications · 13 citations

    1

    h-index

  5. NH
    Nik Hirani

    University of Edinburgh, United Kingdom

    1 publications · 18 citations

    1

    h-index

1–5 of 54

Venues

  1. The Annals of Statistics

    2 publications · 1.3K citations

    2

    h-index

  2. 1

    h-index

  3. Biometrical Journal

    1 publications · 17 citations

    1

    h-index

  4. 1

    h-index

  5. Pharmaceutical Research

    1 publications · 19 citations

    1

    h-index

1–5