Integrated Likelihood

Integrated Likelihood is a type of likelihood function formed by integrating out nuisance parameters from a joint likelihood, thereby focusing inference on the parameters of primary interest while accounting for uncertainty in the marginalized components.

43

Publications

2.6K

Citations

105

Authors

73

Institutions

Publications per year

2017–2026

9

Authors

105

  1. TA
    Thomas A. Severini

    Northwestern University, United States

    4 publications · 103 citations

    4

    h-index

  2. PL
    Pierre Latouche

    Université Paris 1 Panthéon-Sorbonne, France

    2 publications · 116 citations

    2

    h-index

  3. ÉC
    Étienne Côme

    Paris-Est Sup, France

    2 publications · 116 citations

    2

    h-index

  4. PB
    Pierre Barbillon

    AgroParisTech, France

    2 publications · 46 citations

    2

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  5. CS
    C. S. Oedekoven

    University of St Andrews, United Kingdom

    1 publications · 38 citations

    1

    h-index

1–5 of 105

Venues

  1. arXiv (Cornell University)

    Repository · 4 publications · 99 citations

    4

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  2. Biometrika

    3 publications · 91 citations

    3

    h-index

  3. 1

    h-index

  4. HAL (Le Centre pour la Communication Scientifique Directe)

    Repository · 1 publications · 12 citations

    1

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  5. Methods in Ecology and Evolution

    1 publications · 37 citations

    1

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1–5