State-space Population Models

State-Space Population Models is a statistical modeling framework that belongs to the class of hierarchical models in population dynamics, distinguished by its explicit separation of observed population data into a latent state process governing population change and an observation process accounting for measurement error and detection bias.

104

Publications

5.2K

Citations

308

Authors

208

Institutions

Publications per year

2017–2026

18

Authors

308

  1. PB
    Panagiotis Besbeas

    University of Kent, United Kingdom

    5 publications · 183 citations

    5

    h-index

  2. BJ
    Byron J. T. Morgan

    University of Kent, United Kingdom

    4 publications · 156 citations

    4

    h-index

  3. KB
    Ken B. Newman

    United States Fish and Wildlife Service, United States

    4 publications · 730 citations

    4

    h-index

  4. OG
    Olivier Giménez

    Centre d'Écologie Fonctionnelle et Évolutive, France

    4 publications · 381 citations

    4

    h-index

  5. BD
    Brian Dennis

    University of Idaho, United States

    4 publications · 359 citations

    4

    h-index

1–5 of 308

Venues

  1. Ecology

    12 publications · 683 citations

    12

    h-index

  2. Ecological Modelling

    7 publications · 767 citations

    7

    h-index

  3. 6

    h-index

  4. Ecological Applications

    6 publications · 296 citations

    6

    h-index

  5. Journal of Animal Ecology

    5 publications · 401 citations

    5

    h-index

1–5