Probabilistic Population Projections

Probabilistic Population Projections is a population forecasting methodology that, unlike deterministic models, characterizes future demographic uncertainty by assigning probability distributions to key fertility, mortality, and migration parameters, thereby generating interval estimates and likelihood-based projections of population outcomes.

130

Publications

9.2K

Citations

287

Authors

160

Institutions

Publications per year

2017–2026

26

Authors

287

  1. AE
    Adrian E. Raftery

    University of Washington, United States

    18 publications · 3.2K citations

    17

    h-index

  2. PG
    Patrick Gerland

    United Nations Population Fund, United States

    10 publications · 2.5K citations

    10

    h-index

  3. LA
    Leontine Alkema

    University of Massachusetts Amherst, United States

    8 publications · 2K citations

    8

    h-index

  4. HŠ
    Hana Ševčíková

    University of Washington, United States

    8 publications · 2.3K citations

    8

    h-index

  5. WL
    Wolfgang Lutz

    International Institute for Applied Systems Analysis, Austria

    8 publications · 287 citations

    8

    h-index

1–5 of 287

Venues

  1. 9

    h-index

  2. Demography

    8 publications · 800 citations

    8

    h-index

  3. Population and Development Review

    6 publications · 342 citations

    6

    h-index

  4. Demographic Research

    6 publications · 318 citations

    6

    h-index

  5. IIASA PURE (International Institute of Applied Systems Analysis)

    Repository · 5 publications · 79 citations

    5

    h-index

1–5