Stochastic Population Forecasts

Stochastic Population Forecasts is a population forecasting method that incorporates probabilistic models to account for uncertainty in demographic components, distinguishing it from deterministic approaches by generating a range of possible future population trajectories through random variation in fertility, mortality, and migration rates.

62

Publications

6.5K

Citations

102

Authors

84

Institutions

Publications per year

2017–2026

7

Variants

Probabilistic Population Forecasts

Authors

102

  1. JM
    Juha M. Alho

    University of Illinois Urbana-Champaign, United States

    7 publications · 352 citations

    7

    h-index

  2. RL
    Ronald Lee

    University of California, Berkeley, United States

    6 publications · 473 citations

    6

    h-index

  3. ST
    Shripad Tuljapurkar

    Stanford University, United States

    5 publications · 397 citations

    5

    h-index

  4. PV
    Patrizio Vanella

    Helmholtz Centre for Infection Research, Germany

    3 publications · 54 citations

    3

    h-index

  5. WL
    Wolfgang Lutz

    International Institute for Applied Systems Analysis, Austria

    3 publications · 148 citations

    3

    h-index

1–5 of 102

Venues

  1. 8

    h-index

  2. International Journal of Forecasting

    5 publications · 451 citations

    5

    h-index

  3. International Statistical Review

    4 publications · 134 citations

    4

    h-index

  4. Demography

    3 publications · 181 citations

    3

    h-index

  5. Journal of Official Statistics

    JOS · 3 publications · 91 citations

    3

    h-index

1–5