Stochastic Age-structured Models
Stochastic Age-Structured Models is a mathematical modeling framework that incorporates random variation in demographic processes across distinct age classes within a population, distinguishing it from deterministic or non-age-structured stochastic models by explicitly accounting for both age-specific transitions and probabilistic events.
150
Publications
6.3K
Citations
330
Authors
187
Institutions
Publications per year
2017–2026
23
Parents
150
Nicholas G. Davies, Adam J. Kucharski, Rosalind M. Eggo et al. · The Lancet Public Health · 2020 · 975 citations · Full text
A Compositional and Dynamic Model for Face Aging
Jinli Suo, Song-Chun Zhu, Shiguang Shan et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2009 · 279 citations
Computing, Computer Science, Aging +16
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330
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Institut Pierre Louis d‘Épidémiologie et de Santé Publique, France
4 publications · 647 citations
4
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4
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1–5 of 330
187
Ningxia University
Yinchuan, China
11 h-index
17 publications
318 citations

Xi'an Jiaotong University
Xi'an, China
6 h-index
12 publications
388 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
5 h-index
10 publications
174 citations

Sorbonne Université
Paris, France
5 h-index
22 publications
3.3K citations
Institut Pierre Louis d‘Épidémiologie et de Santé Publique
Paris, France
4 h-index
20 publications
3.2K citations
Duke University
Durham, United States
4 h-index
13 publications
647 citations
London School of Economics and Political Science
London, United Kingdom
4 h-index
4 publications
75 citations
Orange (France)
Paris, France
4 h-index
4 publications
647 citations
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11 publications · 606 citations
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9 publications · 198 citations
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6 publications · 157 citations
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TPB · 5 publications · 171 citations
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4 publications · 93 citations
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