Hierarchical Model Selection

Hierarchical Model Selection is a model selection framework in phylogenetics that organizes candidate models in a nested, structured hierarchy to facilitate systematic comparison and selection based on statistical fit, complexity, and evolutionary realism.

148

Publications

17.5K

Citations

402

Authors

243

Institutions

Publications per year

2017–2026

31

Authors

402

  1. WA
    William A. Link

    United States Geological Survey, United States

    4 publications · 125 citations

    4

    h-index

  2. BD
    Brian Dennis

    University of Idaho, United States

    3 publications · 193 citations

    3

    h-index

  3. PK
    Petros Koumoutsakos

    ETH Zurich, Switzerland

    3 publications · 106 citations

    3

    h-index

  4. JR
    John R. Sauer

    Oklahoma State University, United States

    3 publications · 86 citations

    3

    h-index

  5. DK
    Daniel K. Niven

    United States Geological Survey, United States

    2 publications · 49 citations

    2

    h-index

1–5 of 402

Venues

  1. Ecology

    6 publications · 408 citations

    6

    h-index

  2. arXiv (Cornell University)

    Repository · 3 publications · 76 citations

    3

    h-index

  3. Systematic Biology

    3 publications · 4.2K citations

    3

    h-index

  4. Ecosphere

    3 publications · 266 citations

    3

    h-index

  5. The American Statistician

    3 publications · 210 citations

    3

    h-index

1–5