Likelihood Degeneracy

Likelihood Degeneracy is a phenomenon in statistical inference whereby the likelihood function becomes ill-defined or collapses to a degenerate form, losing discriminatory power among parameter values due to structural insufficiency in the model or insufficient information in the data.

10

Publications

560

Citations

25

Authors

18

Institutions

Publications per year

2017–2026

3

Authors

25

  1. SC
    Stéphane Chrétien

    Centre National de la Recherche Scientifique, France

    1 publications · 49 citations

    1

    h-index

  2. JL
    Jiming Liu

    Hong Kong Baptist University, Hong Kong SAR China

    1 publications · 13 citations

    1

    h-index

  3. GR
    Gregor Robinson

    University of Colorado Boulder, United States

    1 publications · 26 citations

    1

    h-index

  4. KJ
    Kamran Javid

    University of Cambridge, United Kingdom

    1 publications · 13 citations

    1

    h-index

  5. IG
    Ian Grooms

    University of Colorado Boulder, United States

    1 publications · 26 citations

    1

    h-index

1–5 of 25

Venues

  1. Journal of Cosmology and Astroparticle Physics

    JCAP · 1 publications · 68 citations

    1

    h-index

  2. Computational Statistics & Data Analysis

    CSDA · 1 publications · 39 citations

    1

    h-index

  3. Psychometrika

    1 publications · 211 citations

    1

    h-index

  4. Annals of Operations Research

    1 publications · 13 citations

    1

    h-index

  5. PLoS ONE

    1 publications · 26 citations

    1

    h-index

1–5