Bayesian Population Estimation

Bayesian Population Estimation is a statistical inference framework that uses Bayesian methods to estimate population size by updating prior beliefs with observed data through probabilistic modeling.

244

Publications

14.3K

Citations

772

Authors

383

Institutions

Publications per year

2017–2026

30

Authors

772

  1. AE
    Adrian E. Raftery

    University of Washington, United States

    7 publications · 458 citations

    7

    h-index

  2. SS
    Shanti S. Gupta

    Purdue University West Lafayette, United States

    5 publications · 251 citations

    5

    h-index

  3. JE
    Judith E. Zeh

    University of Washington, United States

    4 publications · 310 citations

    4

    h-index

  4. HB
    Heleno Bolfarine

    Universidade de São Paulo, Brazil

    4 publications · 148 citations

    4

    h-index

  5. RK
    Ruth King

    University of St Andrews, United Kingdom

    4 publications · 227 citations

    4

    h-index

1–5 of 772

Venues

  1. 16

    h-index

  2. Biometrics

    10 publications · 582 citations

    10

    h-index

  3. 9

    h-index

  4. Biometrika

    7 publications · 435 citations

    7

    h-index

  5. Journal of Statistical Planning and Inference

    6 publications · 297 citations

    6

    h-index

1–5