Likelihood Surface Analysis

Likelihood Surface Analysis is a computational method in statistical inference that characterizes the structure of the likelihood function across parameter space to identify maxima, assess parameter identifiability, and evaluate model sensitivity by examining the shape and topology of the likelihood surface.

29

Publications

2.4K

Citations

93

Authors

73

Institutions

Publications per year

2017–2026

4

Authors

93

  1. PD
    Peter Donnelly

    University of Oxford, United Kingdom

    2 publications · 232 citations

    2

    h-index

  2. MN
    Magnus Nordborg

    Gregor Mendel Institute of Molecular Plant Biology, Austria

    2 publications · 232 citations

    2

    h-index

  3. FF
    Farhan Feroz

    University of Cambridge, United Kingdom

    2 publications · 125 citations

    2

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  4. YS
    Yu Shang

    Tsinghua University, China

    2 publications · 63 citations

    2

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  5. HG
    Harvey Goldstein

    University of Bristol, United Kingdom

    1 publications · 16 citations

    1

    h-index

1–5 of 93

Venues

  1. 3

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  2. 2

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  3. Molecular Biology and Evolution

    MBE · 2 publications · 186 citations

    2

    h-index

  4. Bristol Research (University of Bristol)

    Repository · 2 publications · 99 citations

    2

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  5. Genetic Epidemiology

    2 publications · 93 citations

    2

    h-index

1–5