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
130
Emily Goren, Chun-Wei Yuan, Jackie Cao et al. · The Lancet · 2020 · 1.5K citations · Full text
World population stabilization unlikely this century
Patrick Gerland, Adrian E. Raftery, Hana Ševčíková et al. · Science · 2014 · 1.4K citations
1–5 of 130
287
17
h-index
10
h-index
8
h-index
8
h-index
International Institute for Applied Systems Analysis, Austria
8 publications · 287 citations
8
h-index
1–5 of 287
160
University of Washington
Seattle, United States
18 h-index
82 publications
44.4K citations
International Institute for Applied Systems Analysis
Laxenburg, Austria
7 h-index
8 publications
299 citations
United Nations Population Fund
New York, United States
7 h-index
11 publications
4.3K citations
National University of Singapore
Singapore, Singapore
5 h-index
5 publications
1.9K citations
University of Washington Applied Physics Laboratory
Seattle, United States
5 h-index
6 publications
3.2K citations

Vienna Institute of Demography
Vienna, Austria
4 h-index
5 publications
161 citations
Harvard University
Cambridge, United States
3 h-index
3 publications
231 citations

The University of Queensland
Brisbane, Australia
3 h-index
7 publications
237 citations
1–8 of 160
9 publications · 699 citations
9
h-index
8 publications · 800 citations
8
h-index
6 publications · 342 citations
6
h-index
6 publications · 318 citations
6
h-index
Repository · 5 publications · 79 citations
5
h-index
1–5