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
Parents
62
Forecasting the global burden of Alzheimer's disease
Ron Brookmeyer, Elizabeth M. Johnson, Kathryn Ziegler‐Graham et al. · Alzheimer s & Dementia · 2007 · 3.4K citations
Medicine, Geriatric Medicine, Population Health Sciences +17
Nathan Keyfitz · Journal of the American Statistical Association · 1972 · 172 citations
1–5 of 62
102
7
h-index
6
h-index
5
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3
h-index
International Institute for Applied Systems Analysis, Austria
3 publications · 148 citations
3
h-index
1–5 of 102
84
University of California, Berkeley
Berkeley, United States
5 h-index
5 publications
456 citations
Stanford University
Stanford, United States
5 h-index
6 publications
413 citations

Johns Hopkins University
Baltimore, United States
2 h-index
4 publications
6.8K citations
International Institute for Applied Systems Analysis
Laxenburg, Austria
2 h-index
2 publications
123 citations
Centre d'Etudes Biologiques de Chizé
Beauvoir-sur-Niort, France
2 h-index
6 publications
1.1K citations
Helmholtz Centre for Infection Research
Braunschweig, Germany
2 h-index
2 publications
44 citations
Sunesis (United States)
South San Francisco, United States
2 h-index
2 publications
3.4K citations
NOAA National Ice Center
Suitland, United States
2 h-index
3 publications
504 citations
1–8 of 84
8 publications · 713 citations
8
h-index
5 publications · 451 citations
5
h-index
4 publications · 134 citations
4
h-index
3 publications · 181 citations
3
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JOS · 3 publications · 91 citations
3
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1–5